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## Updated on 2026.08.13
> Usage instructions: [here](./docs/README.md#usage)

> This page is modified from [here](https://github.com/Vincentqyw/cv-arxiv-daily)

<details>
  <summary>Table of Contents</summary>
  <ol>
    <li><a href=#flow-matching-related-papers>Flow Matching Related Papers</a></li>
  </ol>
</details>

## Flow Matching Related Papers

|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2026-08-11**|**AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss**|Mingju Gao et.al.|[2608.11205](http://arxiv.org/abs/2608.11205)|null|
|**2026-08-11**|**XCoT-VLA: Executable Chain-of-Thought for Vision-Language-Action Driving**|Foundation Model Team et.al.|[2608.10976](http://arxiv.org/abs/2608.10976)|null|
|**2026-08-11**|**Is Retrieval All You Need? Assessment and Emergence of Novelty in Protein Structure Generation**|Tongyue Xu et.al.|[2608.10598](http://arxiv.org/abs/2608.10598)|null|
|**2026-08-11**|**Flow Straight to Reality: Perceptually Consistent Flow Matching for Efficient Image Restoration**|Sangwoo Jo et.al.|[2608.10544](http://arxiv.org/abs/2608.10544)|null|
|**2026-08-11**|**FlowGRN+: Improving Gene Regulatory Network Inference by Spline Fitting and Manifold Projection in Conditional Flow Matching (Technical Report)**|Tsz Pan Tong et.al.|[2608.10407](http://arxiv.org/abs/2608.10407)|null|
|**2026-08-10**|**MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models**|Lisa K. Fischer et.al.|[2608.10291](http://arxiv.org/abs/2608.10291)|null|
|**2026-08-10**|**MAD-HOI: Masked Autoregressive Diffusion for Generating Articulated Hand Object Interactions from Text**|Ananya Bal et.al.|[2608.10162](http://arxiv.org/abs/2608.10162)|null|
|**2026-08-10**|**FlowGRN: Scalable and Dropout-Robust Gene Regulatory Network Inference via Flow Matching-Based Trajectory Reconstruction (Technical Report)**|Tsz Pan Tong et.al.|[2608.09798](http://arxiv.org/abs/2608.09798)|null|
|**2026-08-10**|**SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation**|Jingkai Wang et.al.|[2608.09771](http://arxiv.org/abs/2608.09771)|null|
|**2026-08-10**|**Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking**|Liying Yang et.al.|[2608.09613](http://arxiv.org/abs/2608.09613)|null|
|**2026-08-10**|**SonicWeave: Chunk-Routed Mixture-of-Experts for Unified Audio Scene Generation**|Yunrui Cai et.al.|[2608.09571](http://arxiv.org/abs/2608.09571)|null|
|**2026-08-10**|**Alpha as an Efficiency Signal: Visibility-Routed RGBA Image-to-Video Generation**|Zhe Li et.al.|[2608.09355](http://arxiv.org/abs/2608.09355)|null|
|**2026-08-10**|**DreOPD: Degraded-Reference Extrapolative On-Policy Distillation for Flow-matching Models**|Mingfeng Lin et.al.|[2608.09233](http://arxiv.org/abs/2608.09233)|null|
|**2026-08-10**|**UniMoFlow: Grounding Instruction-Driven 3D Human Motion Editing in Generation**|Yilei Hua et.al.|[2608.09143](http://arxiv.org/abs/2608.09143)|null|
|**2026-08-10**|**When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution**|Yu Shi et.al.|[2608.09133](http://arxiv.org/abs/2608.09133)|null|
|**2026-08-10**|**MARA: Flow-Matching-Guided Multi-Agent Resource Allocation for Computational Resource Efficient Learning**|Hanye Zhao et.al.|[2608.09130](http://arxiv.org/abs/2608.09130)|null|
|**2026-08-10**|**Trajectory Divergence Horizon Decision for Reliable Dual-Arm Surgical Subtask Manipulation**|Mingwu Su et.al.|[2608.09125](http://arxiv.org/abs/2608.09125)|null|
|**2026-08-10**|**UnsDrive: Towards Robust End-to-End Autonomous Driving in Unstructured Scenes**|Nanxin Zeng et.al.|[2608.09098](http://arxiv.org/abs/2608.09098)|null|
|**2026-08-09**|**CuteTTS: Efficient and High-Quality Speech Synthesis via Autoregressive Modeling of Continuous Latents**|Yuqian Zhang et.al.|[2608.08638](http://arxiv.org/abs/2608.08638)|null|
|**2026-08-09**|**RenderMatte: Exact-Alpha Rendering and Group-Relative Alignment for Image Matting**|Zecheng Ren et.al.|[2608.08487](http://arxiv.org/abs/2608.08487)|null|
|**2026-08-07**|**Energy-Guided Flow Matching**|Haoyang Tong et.al.|[2608.05811](http://arxiv.org/abs/2608.05811)|null|
|**2026-08-07**|**SimWAM: A Simple World Action Model for End-to-End Autonomous Driving**|Zongchuang Zhao et.al.|[2608.07468](http://arxiv.org/abs/2608.07468)|null|
|**2026-08-07**|**FUSE: Feature-Wise Unified Specialization with Cross-Column Exchange for Mixed-Type Tabular Flow Matching**|Suman Cha et.al.|[2608.07294](http://arxiv.org/abs/2608.07294)|null|
|**2026-08-07**|**Flow-Corrected Shape Optimization: Taming Manifold Drift in High-Dimensional 3D Models**|Emilien Seiler et.al.|[2608.07199](http://arxiv.org/abs/2608.07199)|null|
|**2026-08-07**|**Limit Points of Reflow with Minibatch Optimal Transport**|Antonin Chambolle et.al.|[2608.07042](http://arxiv.org/abs/2608.07042)|null|
|**2026-08-07**|**Cross-View Action Consistency for Camera-Robust Vision-Language-Action Policies**|Bingqi Huang et.al.|[2608.06965](http://arxiv.org/abs/2608.06965)|null|
|**2026-08-07**|**MaskFlow: Precise, Consistent and Seamless Regional Image Editing**|Rui Xu et.al.|[2608.06929](http://arxiv.org/abs/2608.06929)|null|
|**2026-08-07**|**Control-Anchored Residual Flow Matching Conditioned on Gene Geometry for Virtual Cell Perturbation Modeling**|Quanquan Li et.al.|[2608.06824](http://arxiv.org/abs/2608.06824)|null|
|**2026-08-07**|**UniCycleFlow: Bidirectional Unpaired Image Translation with a Shared Rectified Flow**|Xianhao Zhou et.al.|[2608.06784](http://arxiv.org/abs/2608.06784)|null|
|**2026-08-06**|**Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching**|Dibyajyoti Chakraborty et.al.|[2608.05103](http://arxiv.org/abs/2608.05103)|null|
|**2026-08-06**|**PRISM: Distribution-Gated Flow Matching for Controllable Unpaired Image Translation**|Elad Yoshai et.al.|[2608.06240](http://arxiv.org/abs/2608.06240)|null|
|**2026-08-06**|**EmoWorld: A Decoupled Affective Field for Controllable Emotional Video Generation**|Bingyuan Wang et.al.|[2608.06231](http://arxiv.org/abs/2608.06231)|null|
|**2026-08-06**|**Vorch-Omni: Multi-Task Orchestration of Sight and Sound**|Vorch Team et.al.|[2608.05803](http://arxiv.org/abs/2608.05803)|null|
|**2026-08-06**|**Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation**|Tirth Bhatt et.al.|[2608.05785](http://arxiv.org/abs/2608.05785)|null|
|**2026-08-06**|**Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification**|Lisai Zhang et.al.|[2608.05776](http://arxiv.org/abs/2608.05776)|null|
|**2026-08-06**|**Flow-Map Distillation on Relation Manifolds for Image Restoration**|Zihao He et.al.|[2608.05769](http://arxiv.org/abs/2608.05769)|null|
|**2026-08-06**|**Hierarchical Flow Matching for 3D Point Cloud Generation**|Linhao Wang et.al.|[2608.05557](http://arxiv.org/abs/2608.05557)|null|
|**2026-08-06**|**Rethinking Automatic Music Mixing as Sequential Stem Blending**|Yen-Tung Yeh et.al.|[2608.05506](http://arxiv.org/abs/2608.05506)|null|
|**2026-08-06**|**InsertFuse: A Unified Framework for Multi-Category Reference-Guided Image Insertion**|Guangzhao Li et.al.|[2608.06490](http://arxiv.org/abs/2608.06490)|null|
|**2026-08-05**|**Rethinking Pixel Mean Flows via Interval Denoiser**|Alexander Zaytsev et.al.|[2608.04818](http://arxiv.org/abs/2608.04818)|null|
|**2026-08-05**|**Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies**|Shaoguang Wang et.al.|[2608.04692](http://arxiv.org/abs/2608.04692)|null|
|**2026-08-05**|**VoxStruct3D: Structure-Leading Flow Matching for Voxel-Space 3D MRI Synthesis**|Fang Li et.al.|[2608.04557](http://arxiv.org/abs/2608.04557)|null|
|**2026-08-05**|**Discretization and Statistical Consistency of Functional Flow Matching**|Lennon J. Shikhman et.al.|[2608.04531](http://arxiv.org/abs/2608.04531)|null|
|**2026-08-05**|**Coupled Continuous-Discrete Generation for Scene Text Image Super-Resolution**|Axi Niu et.al.|[2608.04525](http://arxiv.org/abs/2608.04525)|null|
|**2026-08-05**|**CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention**|Yan Zhang et.al.|[2608.04396](http://arxiv.org/abs/2608.04396)|null|
|**2026-08-05**|**Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and Generation**|Scott H. Hawley et.al.|[2608.04378](http://arxiv.org/abs/2608.04378)|null|
|**2026-08-05**|**Poly-OPD: Heterogeneous Multi-Teacher On-Policy Distillation for Capability-Selectable Flow Models**|Siming Fu et.al.|[2608.04349](http://arxiv.org/abs/2608.04349)|null|
|**2026-08-04**|**Beckmann Transport Models: From Autonomous Flows to One-Step Maps**|Lee Cheuk-Kit et.al.|[2608.01692](http://arxiv.org/abs/2608.01692)|null|
|**2026-08-04**|**Track4Action: Distilling World-Centric 3D Tracker into Vision-Language-Action Policies**|Chenyi Wang et.al.|[2608.03727](http://arxiv.org/abs/2608.03727)|null|
|**2026-08-04**|**On the Geometry of Music Bandwidth Extension in Latent Spaces of Audio Codecs**|Hendrik Vincent Koops et.al.|[2608.03721](http://arxiv.org/abs/2608.03721)|null|
|**2026-08-04**|**Residual Flow Matching with Dynamic Cross-Interaction for 3D Multi-Person Motion Prediction**|Wei Wei et.al.|[2608.03379](http://arxiv.org/abs/2608.03379)|null|
|**2026-08-04**|**Any-OPD: Heterogeneous On-Policy Distillation for Flow-Matching Models via Representation-Space Bridging**|Siming Fu et.al.|[2608.03316](http://arxiv.org/abs/2608.03316)|null|
|**2026-08-04**|**GraspMeanFlow: SE(3)-Equivariant MeanFlow for Few-Step 6-DoF Grasp Generation**|Jiyong Kwon et.al.|[2608.03295](http://arxiv.org/abs/2608.03295)|null|
|**2026-08-04**|**PFM-HR: Pose Flow Matching for Humanoid Robots**|Yukang Gao et.al.|[2608.03227](http://arxiv.org/abs/2608.03227)|null|
|**2026-08-04**|**GROW: Group-Relative Advantage-Weighted On-Policy Reinforcement Learning of Autoregressive-Diffusion Text-to-Speech model**|Guanrou Yang et.al.|[2608.03215](http://arxiv.org/abs/2608.03215)|null|
|**2026-08-04**|**DRIFT: Derailing Denoising Trajectories of Flow-Matching VLAs with Adversarial Patch Attack**|Hoseong Tae et.al.|[2608.03207](http://arxiv.org/abs/2608.03207)|null|
|**2026-08-04**|**Simulation-free and finite-time diffusion model**|Kentaro Kaba et.al.|[2608.03117](http://arxiv.org/abs/2608.03117)|null|
|**2026-08-04**|**How Should Vision-Language-Action Models Use Proprioceptive State?**|Yiren Zhao et.al.|[2608.03052](http://arxiv.org/abs/2608.03052)|null|
|**2026-08-04**|**DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement Learning**|Tristan Wu et.al.|[2608.03032](http://arxiv.org/abs/2608.03032)|null|
|**2026-08-04**|**Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis via Disentangled Audio Infilling**|Ye-Xin Lu et.al.|[2608.03011](http://arxiv.org/abs/2608.03011)|null|
|**2026-08-04**|**EvoHIL: Self-Evolving Reward and Flow-Matched Policy Optimization for Robust Human-in-the-Loop Reinforcement Learning**|Shuoqin Zhang et.al.|[2608.03872](http://arxiv.org/abs/2608.03872)|null|
|**2026-08-04**|**InvFlowFD: Reference-Free and Background-Set-Free Perceptual Music Quality Metric with Flow Matching Inversion**|Alon Ziv et.al.|[2608.04142](http://arxiv.org/abs/2608.04142)|null|
|**2026-08-04**|**FM4WiFi: Flow Matching for Multi-AP Coordination in Dense Deployments of Beyond Wi-Fi 8 Networks**|Maksymilian Wojnar et.al.|[2608.04050](http://arxiv.org/abs/2608.04050)|null|
|**2026-08-03**|**AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling**|Jiajun Liang et.al.|[2608.02602](http://arxiv.org/abs/2608.02602)|null|
|**2026-08-03**|**Open-Set Visual Text Forensics via Sparse-Constraint Rectified Flow**|Jiangling Zhang et.al.|[2608.02258](http://arxiv.org/abs/2608.02258)|null|
|**2026-08-03**|**SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching**|Zong-Wei Hong et.al.|[2608.01990](http://arxiv.org/abs/2608.01990)|null|
|**2026-08-03**|**HaptoFlow: High-Fidelity Real-Time Vibrotactile Generation via Flow Matching for Virtual Reality**|Michikuni Eguchi et.al.|[2608.01974](http://arxiv.org/abs/2608.01974)|null|
|**2026-08-03**|**GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation**|Jeonghyeok Do et.al.|[2608.01896](http://arxiv.org/abs/2608.01896)|null|
|**2026-08-03**|**PartMat: Material-Aware 3D Part Decomposition with a Single Global Latent**|Guangming Fu et.al.|[2608.01825](http://arxiv.org/abs/2608.01825)|null|
|**2026-08-02**|**One-Sided Quantile Coupling for Flow Matching**|Jin-Young Kim et.al.|[2608.00978](http://arxiv.org/abs/2608.00978)|null|
|**2026-08-02**|**Demystifying When and Why VLAs Fail in Contact-Rich Tasks and How to Fix Them**|Carlota Parés-Morlans et.al.|[2608.01402](http://arxiv.org/abs/2608.01402)|null|
|**2026-08-02**|**SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space**|Ruiteng Zhao et.al.|[2608.01397](http://arxiv.org/abs/2608.01397)|null|
|**2026-08-02**|**MiniWorld: Democratizing the Training of Video World Models from Scratch**|Yian Zhao et.al.|[2608.01127](http://arxiv.org/abs/2608.01127)|null|
|**2026-08-01**|**CN101 - A Digital Thermodynamic Computer for Generative AI**|Lars Holdijk et.al.|[2608.00754](http://arxiv.org/abs/2608.00754)|null|
|**2026-08-01**|**FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation**|Runqing Wang et.al.|[2608.00635](http://arxiv.org/abs/2608.00635)|null|
|**2026-08-01**|**Latent Flow Matching for Arbitrage-Aware Implied Volatility Surface Generation**|Oscar Brooks et.al.|[2608.00616](http://arxiv.org/abs/2608.00616)|null|
|**2026-08-01**|**AnyBand: Unified Multi-Bandwidth Speech Extension via Frequency-Aware In-Context Spectral Infilling**|Junchuan Zhao et.al.|[2608.00572](http://arxiv.org/abs/2608.00572)|null|
|**2026-08-01**|**Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching**|Hongjie Wu et.al.|[2608.00537](http://arxiv.org/abs/2608.00537)|null|
|**2026-08-01**|**Unleashing the Power of Text: Text-Guided Flow Matching for Image Fusion under Complex Degradations**|Axi Niu et.al.|[2608.00530](http://arxiv.org/abs/2608.00530)|null|
|**2026-08-01**|**DreamTraj: Generating 6-DoF Object Trajectories by Reading Unrendered Video Diffusion Latents**|Tongsheng Ding et.al.|[2608.00486](http://arxiv.org/abs/2608.00486)|null|
|**2026-07-31**|**SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups**|Yikun Bai et.al.|[2607.27431](http://arxiv.org/abs/2607.27431)|null|
|**2026-07-31**|**FibVLA: An Efficient Temporal Vision-Language-Action Model with Fibonacci Sampling**|Li Lin et.al.|[2607.29596](http://arxiv.org/abs/2607.29596)|null|
|**2026-07-31**|**Safe Vision Language Action Models via Barrier Enhanced Flow Matching**|Kasra Sinaei et.al.|[2607.29569](http://arxiv.org/abs/2607.29569)|null|
|**2026-07-31**|**Temporal Policy: History-Initialized Action Generation for Robotic Learning from Demonstration**|Dylan Miller et.al.|[2607.29482](http://arxiv.org/abs/2607.29482)|null|
|**2026-07-31**|**Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens**|Yi Luo et.al.|[2607.29363](http://arxiv.org/abs/2607.29363)|null|
|**2026-07-31**|**FBFM: A Training-Free Asynchronous Feedback Mechanism for Flow-Matching in World-Action Models Execution**|Peize Li et.al.|[2607.29235](http://arxiv.org/abs/2607.29235)|null|
|**2026-07-31**|**MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation**|Yifei Zhu et.al.|[2607.29180](http://arxiv.org/abs/2607.29180)|null|
|**2026-07-31**|**FDIR: Harmonizing Fidelity and Human-Machine Preference in Lossy Compression Image Restoration**|Kuan-Yen Chen et.al.|[2608.00111](http://arxiv.org/abs/2608.00111)|null|
|**2026-07-30**|**Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?**|Daniel Kua et.al.|[2607.25929](http://arxiv.org/abs/2607.25929)|null|
|**2026-07-30**|**Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework**|Tianen Shen et.al.|[2607.28035](http://arxiv.org/abs/2607.28035)|null|
|**2026-07-30**|**The Geometric Nature and a Free Proxy for Flow-Matching Uncertainty**|Ziyang Rao et.al.|[2607.27933](http://arxiv.org/abs/2607.27933)|null|
|**2026-07-30**|**RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy**|Zhengyang Yan et.al.|[2607.27782](http://arxiv.org/abs/2607.27782)|null|
|**2026-07-30**|**ProgFormer: Hierarchical Voxel Diffusion Transformer for Longitudinal Brain MRI Prediction**|Dexuan Ding et.al.|[2607.27537](http://arxiv.org/abs/2607.27537)|null|
|**2026-07-30**|**APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems**|Shentong Mo et.al.|[2607.28553](http://arxiv.org/abs/2607.28553)|null|
|**2026-07-30**|**Conditioning Tree-Based Diffusions and Flows for Probabilistic Tabular Regression**|Silas Koemen et.al.|[2607.28864](http://arxiv.org/abs/2607.28864)|null|
|**2026-07-30**|**WaiT for the Signal: Simple Frequency-Aware Flow-Matching**|Krunoslav Lehman Pavasovic et.al.|[2607.28760](http://arxiv.org/abs/2607.28760)|null|
|**2026-07-30**|**SCMA: Structure-Conditioned and Metal-Aware Flow Matching for CT Metal Artifact Reduction**|Heran Wang et.al.|[2607.28759](http://arxiv.org/abs/2607.28759)|null|
|**2026-07-30**|**Flow Matching with Missing Data**|Fairoz Nower Khan et.al.|[2607.28698](http://arxiv.org/abs/2607.28698)|null|
|**2026-07-29**|**Vision-TL-Action: Neuro-Symbolic Trajectory Generation from Visual Observations and Temporal Logic**|Zezhi Liu et.al.|[2607.26770](http://arxiv.org/abs/2607.26770)|null|
|**2026-07-29**|**Flow Map Learning via Nongradient Vector Flow**|Mark Goldstein et.al.|[2607.26398](http://arxiv.org/abs/2607.26398)|null|
|**2026-07-29**|**DLAM: Distributional Latent Actions with Temporal Constraints**|Zuojin Tang et.al.|[2607.27138](http://arxiv.org/abs/2607.27138)|null|
|**2026-07-29**|**Latent-Kernel Discrete Flow Maps for Few-Step Generation**|Mansoor Ahmed et.al.|[2607.27529](http://arxiv.org/abs/2607.27529)|null|
|**2026-07-29**|**Failure Detection for Surgical Robot Imitation Policies via Flow-Matching World Modeling**|Zhefeng Huang et.al.|[2607.27511](http://arxiv.org/abs/2607.27511)|null|
|**2026-07-29**|**PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective**|Shengtian Yang et.al.|[2607.27265](http://arxiv.org/abs/2607.27265)|null|
|**2026-07-28**|**Parallel Decoding Distillation for Fast Image and Video Generation**|Neta Shaul et.al.|[2607.26004](http://arxiv.org/abs/2607.26004)|null|
|**2026-07-28**|**DC-WAM: Dynamic-Centric Visual Supervision and Reasoning for World-Action Models**|Haoyuan Ji et.al.|[2607.25918](http://arxiv.org/abs/2607.25918)|null|
|**2026-07-27**|**Certified Parallel-in-Time Sinkhorn for Dynamic Entropic Optimal Transport**|Xinyang Wen et.al.|[2607.24741](http://arxiv.org/abs/2607.24741)|null|
|**2026-07-27**|**When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening--Drift Tension and an Impossibility for Observation-Based Correction**|Tianpeng Li et.al.|[2607.24662](http://arxiv.org/abs/2607.24662)|null|
|**2026-07-27**|**Amortized Posteriors for Estimation of Material Constitutive Parameters from Multimodal Measurements on Small Punch Tests**|Mohammad Ali Seyed Mahmoud et.al.|[2607.24534](http://arxiv.org/abs/2607.24534)|null|
|**2026-07-27**|**Joint Flow Matching for Generator-Consistent Classification**|Hayden McAlister et.al.|[2607.23946](http://arxiv.org/abs/2607.23946)|null|
|**2026-07-27**|**Qwen-Audio-3.0-TTS: Freely Controllable and Highly Robust Speech Synthesis with Multi-Stage Training Paradigm**|Bajian Xiang et.al.|[2607.23938](http://arxiv.org/abs/2607.23938)|null|
|**2026-07-27**|**Low-Latency Generative Semantic Communication via Channel-Realization Flow Matching**|Fan Gao et.al.|[2607.24876](http://arxiv.org/abs/2607.24876)|null|
|**2026-07-26**|**Post-FWI Injection of Learned Priors Using a Flow Matching Model**|Hao Zhang et.al.|[2607.23719](http://arxiv.org/abs/2607.23719)|null|
|**2026-07-26**|**Restoration Flow Matching-Based Channel Refinement and Equalization Correction for MIMO Semantic Communications**|Wenkai Liu et.al.|[2607.23615](http://arxiv.org/abs/2607.23615)|null|
|**2026-07-26**|**STEER: Steerable Dyadic Head Avatars**|Kartik Teotia et.al.|[2607.23840](http://arxiv.org/abs/2607.23840)|null|
|**2026-07-26**|**Escaping the Euclidean Void: Manifold-Informed Flow Matching for Sequential Recommendation**|Dengzhao Fang et.al.|[2607.23762](http://arxiv.org/abs/2607.23762)|null|
|**2026-07-25**|**Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data**|Yuefei Shen et.al.|[2607.23348](http://arxiv.org/abs/2607.23348)|null|
|**2026-07-24**|**Twins: Learn to Predict Unified Representations with Focal Loss**|Kaixiong Gong et.al.|[2607.22531](http://arxiv.org/abs/2607.22531)|null|
|**2026-07-24**|**TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex**|Yuliang Yan et.al.|[2607.22143](http://arxiv.org/abs/2607.22143)|null|
|**2026-07-24**|**Spectral Prior for Reducing Exposure Bias in Diffusion Models**|Yuya Kobayashi et.al.|[2607.22091](http://arxiv.org/abs/2607.22091)|null|
|**2026-07-24**|**FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow**|Zhilin Huang et.al.|[2607.22788](http://arxiv.org/abs/2607.22788)|null|
|**2026-07-23**|**Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering**|Junyu Dai et.al.|[2607.20253](http://arxiv.org/abs/2607.20253)|null|
|**2026-07-23**|**Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning**|Rogerio Guimaraes et.al.|[2607.21591](http://arxiv.org/abs/2607.21591)|null|
|**2026-07-23**|**Context-weighted Discrete Flow Matching**|Daniil Cherniavskii et.al.|[2607.21427](http://arxiv.org/abs/2607.21427)|null|
|**2026-07-23**|**Fast Inference on Astronomical Time Series with Trans-Dimensional Flow Matching Posterior Estimation**|Nina van der Meulen et.al.|[2607.21134](http://arxiv.org/abs/2607.21134)|null|
|**2026-07-23**|**Faster IndexTTS-2: Accelerating and Streaming Autoregressive Zero-Shot Text-to-Speech Synthesis on GPUs**|Muyang Du et.al.|[2607.21042](http://arxiv.org/abs/2607.21042)|null|
|**2026-07-23**|**Uni-XAS: Alignment-Driven Bidirectional Multimodal Learning for X-ray Absorption Spectroscopy**|Suyang Zhong et.al.|[2607.20906](http://arxiv.org/abs/2607.20906)|null|
|**2026-07-22**|**JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models**|Ruiyi Ding et.al.|[2607.17572](http://arxiv.org/abs/2607.17572)|null|
|**2026-07-22**|**Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing**|Xinjie Zhang et.al.|[2607.19064](http://arxiv.org/abs/2607.19064)|null|
|**2026-07-22**|**PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving**|Yushan Liu et.al.|[2607.20175](http://arxiv.org/abs/2607.20175)|null|
|**2026-07-22**|**LMC-induced Perturbations in the Milky Way Halo II: Bridging Field-level Inference and Summary-level Simulation-Based Inference**|Yanjun Sheng et.al.|[2607.20006](http://arxiv.org/abs/2607.20006)|null|
|**2026-07-22**|**STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching**|Hao Wang et.al.|[2607.19986](http://arxiv.org/abs/2607.19986)|null|
|**2026-07-22**|**Optimal Sensor Placement via Graph-constrained Flow Matching**|Feng Ji et.al.|[2607.19831](http://arxiv.org/abs/2607.19831)|null|
|**2026-07-22**|**DS@GT ARC at ImageCLEFmed GANs 2026: Geometric Filtering for Privacy-Preserving CT Slice Generation**|Eric Regina et.al.|[2607.20692](http://arxiv.org/abs/2607.20692)|null|
|**2026-07-21**|**ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling**|Chirag Vashist et.al.|[2607.19332](http://arxiv.org/abs/2607.19332)|null|
|**2026-07-21**|**DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models**|Yiming Qin et.al.|[2607.19237](http://arxiv.org/abs/2607.19237)|null|
|**2026-07-21**|**Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models**|Lisa Weijler et.al.|[2607.19120](http://arxiv.org/abs/2607.19120)|null|
|**2026-07-21**|**GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks**|Daniele Angioletti et.al.|[2607.19083](http://arxiv.org/abs/2607.19083)|null|
|**2026-07-21**|**Learning sufficient low-dimensional structures through conditional optimal transport**|Kaiqiang Alan Zeng et.al.|[2607.18861](http://arxiv.org/abs/2607.18861)|null|
|**2026-07-21**|**Posterior Samplings are Missing Modalities Generators for Medical Image Translation**|Jonghun Kim et.al.|[2607.18763](http://arxiv.org/abs/2607.18763)|null|
|**2026-07-20**|**DecoyFace: Beyond Obfuscation via Controllable and Imperceptible Identity Misdirection for Privacy-Preserving Face Recognition**|Zhihan Ren et.al.|[2607.17504](http://arxiv.org/abs/2607.17504)|null|
|**2026-07-19**|**Staged Depth-Pruning Distillation of a Flow-Matching Text-to-Speech Teacher: A Compact Hindi Speech Synthesizer**|Sivateja Trikutam et.al.|[2607.18662](http://arxiv.org/abs/2607.18662)|null|
|**2026-07-18**|**TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching**|Om Roy et.al.|[2607.16894](http://arxiv.org/abs/2607.16894)|null|
|**2026-07-18**|**Token-Wise Latent Streaming from Slow Reasoners to Fast Planners for Dynamic Vision Language Navigation**|Tianshuai Hu et.al.|[2607.16806](http://arxiv.org/abs/2607.16806)|null|
|**2026-07-17**|**Learning Standard Model structure from LHC data with Riemannian flow matching**|Midori Kato et.al.|[2607.16144](http://arxiv.org/abs/2607.16144)|null|
|**2026-07-17**|**AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis**|Zhenqi Jia et.al.|[2607.15755](http://arxiv.org/abs/2607.15755)|null|
|**2026-07-16**|**TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization**|Siwoo Lim et.al.|[2607.14927](http://arxiv.org/abs/2607.14927)|null|
|**2026-07-16**|**BridgeFlow: Fast and Robust SE(2)-Equivariant Motion Planning with Flow Matching**|Xinzhe Zhou et.al.|[2607.14725](http://arxiv.org/abs/2607.14725)|null|
|**2026-07-16**|**Reflex: Real-Time VLA Control through Streaming Inference**|Yuanchun Guo et.al.|[2607.14695](http://arxiv.org/abs/2607.14695)|null|
|**2026-07-16**|**Trajectory-Aware Flow Matching for Topology Optimisation**|Shusheng Xiao et.al.|[2607.14652](http://arxiv.org/abs/2607.14652)|null|
|**2026-07-16**|**Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling**|Reon Tabata et.al.|[2607.14639](http://arxiv.org/abs/2607.14639)|null|
|**2026-07-16**|**MIDI-RAE-JEPA: Hierarchical Representation Learning and Generation for Symbolic Music**|Scott H. Hawley et.al.|[2607.14537](http://arxiv.org/abs/2607.14537)|null|
|**2026-07-15**|**ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching**|Jihwan Kim et.al.|[2607.12496](http://arxiv.org/abs/2607.12496)|null|
|**2026-07-15**|**Heavy-Tailed Flow Matching via Random Clocks**|Zhouhao Yang et.al.|[2607.13841](http://arxiv.org/abs/2607.13841)|null|
|**2026-07-15**|**DNA: Dual-stage Native Attribution for Generated Image Source Tracing**|Chao Wang et.al.|[2607.13685](http://arxiv.org/abs/2607.13685)|null|
|**2026-07-15**|**DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation**|Eungjune Shim et.al.|[2607.13365](http://arxiv.org/abs/2607.13365)|null|
|**2026-07-15**|**ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation**|Nutan Chen et.al.|[2607.14424](http://arxiv.org/abs/2607.14424)|null|
|**2026-07-15**|**DiMaS: Distribution Matching for Steering Vision-Language-Action Models**|Pegah Khayatan et.al.|[2607.14280](http://arxiv.org/abs/2607.14280)|null|
|**2026-07-15**|**Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows**|Jingdong Zhang et.al.|[2607.14272](http://arxiv.org/abs/2607.14272)|null|
|**2026-07-14**|**RFMSR: Residual Flow Matching for Image Super-Resolution**|Shuwei Huang et.al.|[2607.12753](http://arxiv.org/abs/2607.12753)|null|
|**2026-07-14**|**The Geometry of Memorization: Finite-Time Spectral Sensitivity as a Diagnostic for Flow Matching Models**|Shuchan Wang et.al.|[2607.12616](http://arxiv.org/abs/2607.12616)|null|
|**2026-07-14**|**DiTailed: Ensuring Visual Object Consistency in Text-Image-to-Image Flow Matching Models**|Francesco Taioli et.al.|[2607.12539](http://arxiv.org/abs/2607.12539)|null|
|**2026-07-14**|**Contrastive-Augmented Flow Matching for Style-Content Disentanglement**|Yusong Li et.al.|[2607.12404](http://arxiv.org/abs/2607.12404)|null|
|**2026-07-14**|**SinAE: A Single-Architecture Flow-Matching Autoencoder for Cross-Domain Atomic Systems**|Yuxuan Ren et.al.|[2607.12380](http://arxiv.org/abs/2607.12380)|null|
|**2026-07-14**|**SeamGen: Artist-Aligned UV Seam Generation via Graph Flow Matching**|Hao Xu et.al.|[2607.12379](http://arxiv.org/abs/2607.12379)|null|
|**2026-07-14**|**A Shortcut to Statistically Steady-State Turbulence with Flow Matching**|Gianluca Galletti et.al.|[2607.13022](http://arxiv.org/abs/2607.13022)|null|
|**2026-07-14**|**Generating synthetic evolution of turbulent flames with an experimental data-based spatiotemporal diffusion model**|Amrit Tarur et.al.|[2607.13193](http://arxiv.org/abs/2607.13193)|null|
|**2026-07-13**|**Velocity Scheduled Flow Matching**|Vitalii Bondar et.al.|[2607.11442](http://arxiv.org/abs/2607.11442)|null|
|**2026-07-13**|**HandFlow: Fully Generative 4D Hand Recovery with Flow Matching**|Mingxi Xu et.al.|[2607.11221](http://arxiv.org/abs/2607.11221)|null|
|**2026-07-13**|**Anysynth:Zero-Shot Instrument Cloning via In-Context Learning and Asymmetric Hierarchical Guidance**|Chong Jing et.al.|[2607.11143](http://arxiv.org/abs/2607.11143)|null|
|**2026-07-13**|**FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction**|Zheng Zhang et.al.|[2607.11104](http://arxiv.org/abs/2607.11104)|null|
|**2026-07-13**|**GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation**|Yeonseo Lee et.al.|[2607.11031](http://arxiv.org/abs/2607.11031)|null|
|**2026-07-13**|**Whole-Body Semantic-to-Actuation Grounding of Elephant-Inspired Soft-Trunk Motion via Lightweight Flow Matching**|Tingcong Liu et.al.|[2607.11018](http://arxiv.org/abs/2607.11018)|null|
|**2026-07-12**|**Diversify Diffusion with Temperature Sampling and Variance-Corrective Time Shifting**|Peizhuo Li et.al.|[2607.10853](http://arxiv.org/abs/2607.10853)|null|
|**2026-07-12**|**LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow**|Hang Long et.al.|[2607.10623](http://arxiv.org/abs/2607.10623)|null|
|**2026-07-11**|**SUREFlow: State-space Uncertainty-aware REsidual Flow Matching for Robust Robot Manipulation**|Md Tanvir Islam et.al.|[2607.10504](http://arxiv.org/abs/2607.10504)|null|
|**2026-07-11**|**VINE: Taming Generative Control Policies for Reinforcement Learning**|Rushuai Yang et.al.|[2607.10369](http://arxiv.org/abs/2607.10369)|null|
|**2026-07-11**|**Source-Lifted Flow Matching for Intervenable Multimodal Imitation**|He Zhang et.al.|[2607.10206](http://arxiv.org/abs/2607.10206)|null|
|**2026-07-11**|**On the Efficiency of LoRA Fine-Tuning for Vision-Language-Action Models in Industrial Robotic Manipulation**|Finn Ferchau et.al.|[2607.10172](http://arxiv.org/abs/2607.10172)|null|
|**2026-07-10**|**FabriVLA: A Lightweight Vision-Language-Action Model for Precise Multi-Task Manipulation**|Shiyuan Yang et.al.|[2607.08575](http://arxiv.org/abs/2607.08575)|null|
|**2026-07-10**|**PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal Synthesis**|Ren Takahashi et.al.|[2607.09662](http://arxiv.org/abs/2607.09662)|null|
|**2026-07-10**|**FreyaTTS Technical Report**|Ahmet Erdem Pamuk et.al.|[2607.09530](http://arxiv.org/abs/2607.09530)|null|
|**2026-07-10**|**ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models**|Sang-Hoon Lee et.al.|[2607.09134](http://arxiv.org/abs/2607.09134)|null|
|**2026-07-10**|**UniPose9D: Universal Category-Agnostic Object Pose Estimation**|Yang You et.al.|[2607.09985](http://arxiv.org/abs/2607.09985)|null|
|**2026-07-09**|**Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report**|Xufeng Zhao et.al.|[2607.07370](http://arxiv.org/abs/2607.07370)|null|
|**2026-07-09**|**Joint Discrete-Continuous Flow Matching for Open-Vocabulary Inverse Design of Multilayer Optical Coatings**|Zhiyi Li et.al.|[2607.08392](http://arxiv.org/abs/2607.08392)|null|
|**2026-07-09**|**Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data**|Haruto Kitagawa et.al.|[2607.08384](http://arxiv.org/abs/2607.08384)|null|
|**2026-07-09**|**TFP: Temporally Conditioned Memory-Fusion Policies for Visuomotor Learning**|Yushen Liang et.al.|[2607.08283](http://arxiv.org/abs/2607.08283)|null|
|**2026-07-09**|**RadioDiff-v2: Generative Angular Radio Maps for Multi-Beam Selection and Localization**|Xiucheng Wang et.al.|[2607.08045](http://arxiv.org/abs/2607.08045)|null|
|**2026-07-09**|**FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space**|Michael Murray et.al.|[2607.08877](http://arxiv.org/abs/2607.08877)|null|
|**2026-07-08**|**Guidance Breaks the Fitted Operator: A Terminal-Fitted Repair for Classifier-Free Guidance**|Shiheng Zhang et.al.|[2607.07665](http://arxiv.org/abs/2607.07665)|null|
|**2026-07-08**|**Stability of Flow Models for Graph Signals**|Martin Schmidt et.al.|[2607.07510](http://arxiv.org/abs/2607.07510)|null|
|**2026-07-08**|**Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks**|Zhenghao Zhou et.al.|[2607.07250](http://arxiv.org/abs/2607.07250)|null|
|**2026-07-08**|**ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching**|Yuhang He et.al.|[2607.07119](http://arxiv.org/abs/2607.07119)|null|
|**2026-07-08**|**Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation**|Seulbin Hwang et.al.|[2607.06957](http://arxiv.org/abs/2607.06957)|null|
|**2026-07-08**|**Geometric Collapse: When Vision Models Fail to Verify Physical Causality**|Wentao Zhang et.al.|[2607.06871](http://arxiv.org/abs/2607.06871)|null|
|**2026-07-07**|**FADRA: Frequency-Aware Diffusion with Residual Adaptation for Video Face Restoration**|Jin Jiang et.al.|[2607.06389](http://arxiv.org/abs/2607.06389)|null|
|**2026-07-07**|**Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement**|Ryuji Oi et.al.|[2607.06370](http://arxiv.org/abs/2607.06370)|null|
|**2026-07-07**|**Straight-Path Flow Matching for Incomplete Multi-View Clustering**|Yiteng Yuan et.al.|[2607.06281](http://arxiv.org/abs/2607.06281)|null|
|**2026-07-07**|**Optimal Transport Q-Learning for Flow Policy Steering and Acceleration**|Andreas Sochopoulos et.al.|[2607.06262](http://arxiv.org/abs/2607.06262)|null|
|**2026-07-07**|**x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability**|Xin Peng et.al.|[2607.06114](http://arxiv.org/abs/2607.06114)|null|
|**2026-07-07**|**Flow Matching-Based Speech Source Separation with Best-of-N Biometric Sampling**|Anastasia Zorkina et.al.|[2607.06088](http://arxiv.org/abs/2607.06088)|null|
|**2026-07-07**|**Fréchet Distance Loss on Speech Representations for Text-to-Speech Synthesis**|Ho-Lam Chung et.al.|[2607.06027](http://arxiv.org/abs/2607.06027)|null|
|**2026-07-06**|**KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation**|Xinyu Shao et.al.|[2607.04652](http://arxiv.org/abs/2607.04652)|null|
|**2026-07-06**|**SEAM: Smooth Execution of Action-Chunked Motion for Vision-Language-Action Policies**|Dijia Zhan et.al.|[2607.04609](http://arxiv.org/abs/2607.04609)|null|
|**2026-07-06**|**GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation**|Zherui Huang et.al.|[2607.05257](http://arxiv.org/abs/2607.05257)|null|
|**2026-07-06**|**FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation**|Weichen Qin et.al.|[2607.05252](http://arxiv.org/abs/2607.05252)|null|
|**2026-07-06**|**Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control**|Ruslan Rakhimov et.al.|[2607.04978](http://arxiv.org/abs/2607.04978)|null|
|**2026-07-06**|**Steady Euler flows with contact discontinuities in infinitely long nozzles with general upstream data**|Jun Chen et.al.|[2607.04804](http://arxiv.org/abs/2607.04804)|null|
|**2026-07-05**|**Constrained Flow Matching via Lagrangian Dual Flows**|Vince Kurtz et.al.|[2607.04513](http://arxiv.org/abs/2607.04513)|null|
|**2026-07-05**|**CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation**|Ke Li et.al.|[2607.04451](http://arxiv.org/abs/2607.04451)|null|
|**2026-07-05**|**Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series**|Zitao Shuai et.al.|[2607.04245](http://arxiv.org/abs/2607.04245)|null|
|**2026-07-05**|**XS-VLA: Coupling Coarse-grained Spatial Distillation with Latent Flow Matching for Lightweight Robotic Control**|Lei Iok Tong et.al.|[2607.04171](http://arxiv.org/abs/2607.04171)|null|
|**2026-07-05**|**Asymptotic-Preserving A Posteriori Analysis of Diffusion and Flow-Matching Samplers**|Shiheng Zhang et.al.|[2607.04113](http://arxiv.org/abs/2607.04113)|null|
|**2026-07-04**|**InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360° Image**|Gwanhyeong Koo et.al.|[2607.03990](http://arxiv.org/abs/2607.03990)|null|
|**2026-07-04**|**TokAN: Accent Normalization Using Self-Supervised Speech Tokens**|Qibing Bai et.al.|[2607.03928](http://arxiv.org/abs/2607.03928)|null|
|**2026-07-04**|**High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching**|Yuran Chen et.al.|[2607.03865](http://arxiv.org/abs/2607.03865)|null|
|**2026-07-03**|**Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies**|Liuhaichen Yang et.al.|[2607.02092](http://arxiv.org/abs/2607.02092)|null|
|**2026-07-03**|**Reflected Schrödinger Bridge Matching**|Marcus Häggbom et.al.|[2607.03626](http://arxiv.org/abs/2607.03626)|null|
|**2026-07-03**|**Perceptual Flow Matching for Few-Step Generative Modeling**|Chuyang Zhao et.al.|[2607.03524](http://arxiv.org/abs/2607.03524)|null|
|**2026-07-02**|**DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation**|Ziyu Shan et.al.|[2606.32028](http://arxiv.org/abs/2606.32028)|null|
|**2026-07-02**|**DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments**|Wen Jiang et.al.|[2606.31654](http://arxiv.org/abs/2606.31654)|null|
|**2026-07-02**|**Decoupled Guidance: Disentangling Subject and Context Pathways in Text-to-Image Personalization**|Seongmin Kim et.al.|[2607.00766](http://arxiv.org/abs/2607.00766)|null|
|**2026-07-02**|**VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation**|Shuai Tian et.al.|[2607.02503](http://arxiv.org/abs/2607.02503)|null|
|**2026-07-02**|**LIME: Learning Intent-aware Camera Motion from Egocentric Video**|Boyang Sun et.al.|[2607.02417](http://arxiv.org/abs/2607.02417)|null|
|**2026-07-02**|**FlowCIR: Semantic Transport via Flow Matching for Zero-Shot Composed Image Retrieval**|Zhenqi He et.al.|[2607.02284](http://arxiv.org/abs/2607.02284)|null|
|**2026-07-02**|**RTE-FM-Dehazer: Radiative Transfer Equation Inspired Flow Matching for Real-World Image Dehazing**|Chenfeng Wei et.al.|[2607.01748](http://arxiv.org/abs/2607.01748)|null|
|**2026-07-02**|**Multi-Resolution Flow Matching: Training-Free Diffusion Acceleration via Staged Sampling**|Xingyu Zheng et.al.|[2607.01642](http://arxiv.org/abs/2607.01642)|null|
|**2026-07-02**|**VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment**|Guoyang Xia et.al.|[2607.01586](http://arxiv.org/abs/2607.01586)|null|
|**2026-07-01**|**Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision**|Haoyang Li et.al.|[2606.30552](http://arxiv.org/abs/2606.30552)|null|
|**2026-07-01**|**A First Exploration of Neuromorphic OT-CFM for Multi-Speaker VSR**|Lin Chen et.al.|[2606.31225](http://arxiv.org/abs/2606.31225)|null|
|**2026-07-01**|**A Geometric Perspective on Composable Emotion Steering in Text-to-Speech Models**|Siyi Wang et.al.|[2607.00946](http://arxiv.org/abs/2607.00946)|null|
|**2026-07-01**|**Enhancing Flow Matching with A Unified Guidance Framework for Efficient and Robust Speech Synthesis**|Zuda Yu et.al.|[2607.00363](http://arxiv.org/abs/2607.00363)|null|
|**2026-07-01**|**Generative Modeling of Quantum Distribution with Functional Flow Matching**|Jaehoon Hahm et.al.|[2607.00301](http://arxiv.org/abs/2607.00301)|null|
|**2026-07-01**|**Neuro-Symbolic Safety Guidance for Vision-Language-Action Models via Constrained Flow Matching**|William English et.al.|[2607.01378](http://arxiv.org/abs/2607.01378)|null|
|**2026-06-30**|**DualBrep: A Dual-Field Continuous Representation for B-rep Modelling**|Yilin Liu et.al.|[2606.31579](http://arxiv.org/abs/2606.31579)|null|
|**2026-06-30**|**Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective**|Ole Winther et.al.|[2606.31576](http://arxiv.org/abs/2606.31576)|null|
|**2026-06-30**|**PRISM: Latent Composition Consistency for Single-Image Reflection Removal**|Junseong Shin et.al.|[2606.31513](http://arxiv.org/abs/2606.31513)|null|
|**2026-06-30**|**Scenario-conditioned flow matching for probabilistic generation of three-component ground-motion waveforms**|Yi Ding et.al.|[2606.31340](http://arxiv.org/abs/2606.31340)|null|
|**2026-06-30**|**Probabilistic Inversion with Flow Matching**|Baldur Paulwitz et.al.|[2606.31288](http://arxiv.org/abs/2606.31288)|null|
|**2026-06-30**|**Play Like Champions: Counterfactual Feedback Generation in Latent Space**|Andrzej Białecki et.al.|[2607.00190](http://arxiv.org/abs/2607.00190)|null|
|**2026-06-30**|**SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling**|Alaina Kolli et.al.|[2607.00095](http://arxiv.org/abs/2607.00095)|null|
|**2026-06-29**|**Home3D 1.0: A High-Fidelity Image-to-3D Asset Generation System for Interior Design**|Yiyun Fei et.al.|[2606.27923](http://arxiv.org/abs/2606.27923)|null|
|**2026-06-29**|**FacePlex: Full-Duplex Joint Speech-Facial Motion Generation for Conversational Avatars**|Habin Lim et.al.|[2606.30145](http://arxiv.org/abs/2606.30145)|null|
|**2026-06-29**|**Notes on generative modeling: flow matching, diffusion, optimal transport and Schr{ö}dinger bridge**|Titouan Vayer et.al.|[2606.30053](http://arxiv.org/abs/2606.30053)|null|
|**2026-06-29**|**OpenSPM: An Environment-Transferable Robotic Key Spatial Pose Memory and Closed-Loop High-Frequency Flow-Matching Action Generation Model**|Iok Tong Lei et.al.|[2606.29936](http://arxiv.org/abs/2606.29936)|null|
|**2026-06-29**|**Dual-Flow Reinforcement Learning with State-Aware Exploration**|Qijun Li et.al.|[2606.29820](http://arxiv.org/abs/2606.29820)|null|
|**2026-06-29**|**Simplifying Flow Matching Transformations with Low-Rank Mixture Models**|Liam A. Kruse et.al.|[2606.29724](http://arxiv.org/abs/2606.29724)|null|
|**2026-06-29**|**MeloDISinger: Melody-Aware & Duration-Preserving Singing Voice Editing with Audio Infilling**|Yoonjeong Park et.al.|[2606.30580](http://arxiv.org/abs/2606.30580)|null|
|**2026-06-29**|**The Fundamental Limits of Valid Transport Map Estimation**|Sivaraman Balakrishnan et.al.|[2606.30574](http://arxiv.org/abs/2606.30574)|null|
|**2026-06-28**|**VeRe-Flow: Guiding Flow Matching toward Clean Speech via Velocity Contrastive Regularization and Representation Alignment for Noise-Robust Bandwidth Expansion**|Sujin Koo et.al.|[2606.29450](http://arxiv.org/abs/2606.29450)|null|
|**2026-06-28**|**Interventional Flow Matching: Prospective Dose-Response Forecasting with Velocity-Field Jacobian Regularization**|Amirreza Dolatpour Fathkouhi et.al.|[2606.29386](http://arxiv.org/abs/2606.29386)|null|
|**2026-06-28**|**SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics**|Jiashuo Sun et.al.|[2606.29247](http://arxiv.org/abs/2606.29247)|null|
|**2026-06-28**|**CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview**|Neelesh Rampal et.al.|[2606.29172](http://arxiv.org/abs/2606.29172)|null|
|**2026-06-27**|**Panel Flow Matching: A Generative Approach to Learning Distributions of Longitudinal Data**|Jianbin Tan et.al.|[2606.29105](http://arxiv.org/abs/2606.29105)|null|
|**2026-06-27**|**Flow Matching in Feature Space for Stochastic World Modeling**|Francois Porcher et.al.|[2606.29059](http://arxiv.org/abs/2606.29059)|null|
|**2026-06-26**|**Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching**|Guanbo Huang et.al.|[2606.28226](http://arxiv.org/abs/2606.28226)|null|
|**2026-06-26**|**MindFlow: Harmonizing Cognitive Semantics and Acoustic Dynamics for Facial Animation Generation in Dyadic Conversations**|Hejia Chen et.al.|[2606.27779](http://arxiv.org/abs/2606.27779)|null|
|**2026-06-26**|**ModaFlow: Modality-Aware Flow Matching for High-Fidelity Virtual Try-On**|Xiangyu Sai et.al.|[2606.27773](http://arxiv.org/abs/2606.27773)|null|
|**2026-06-26**|**NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning**|Tianlin Pan et.al.|[2606.27771](http://arxiv.org/abs/2606.27771)|null|
|**2026-06-26**|**PerturbCellRL: Verifier-Guided Reinforcement Learning for Single-Cell Perturbation Prediction**|Dongxia Wu et.al.|[2606.27752](http://arxiv.org/abs/2606.27752)|null|
|**2026-06-26**|**Physics-Grounded Disentangled Flow Modeling for Brain Disease Progression Trajectory**|Jun Wang et.al.|[2606.28630](http://arxiv.org/abs/2606.28630)|null|
|**2026-06-26**|**MammoFlow: Multiview Mammogram Synthesis with Anatomically Consistent Flow Matching**|Yuexi Du et.al.|[2606.28537](http://arxiv.org/abs/2606.28537)|null|
|**2026-06-25**|**DanceOPD: On-Policy Generative Field Distillation**|Wei Zhou et.al.|[2606.27377](http://arxiv.org/abs/2606.27377)|null|
|**2026-06-25**|**Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)**|Ilia Larchenko et.al.|[2606.27163](http://arxiv.org/abs/2606.27163)|null|
|**2026-06-25**|**PAMAE: Phase-Aware-MoE Action Experts Towards Reliable Flow-Matching Vision-Language-Action Policies**|Jiayu Yang et.al.|[2606.27144](http://arxiv.org/abs/2606.27144)|null|
|**2026-06-25**|**Bridging Vision and Language Concepts through Optimal Transport Semantic Flow**|Chenyang Zhang et.al.|[2606.26891](http://arxiv.org/abs/2606.26891)|null|
|**2026-06-25**|**Closing the Quality Gap in Low-Resource Text-to-Speech: LoRA Fine-Tuning of VoxCPM2 for Khmer and Korean**|Phannet Pov et.al.|[2606.26618](http://arxiv.org/abs/2606.26618)|null|
|**2026-06-25**|**VoiceTTA: Enhancing Zero-Shot Text-to-Speech via Reinforcement Learning-Based Test-Time Adaptation**|Tianxin Xie et.al.|[2606.26534](http://arxiv.org/abs/2606.26534)|null|
|**2026-06-24**|**A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching**|Feiyang Fu et.al.|[2606.24140](http://arxiv.org/abs/2606.24140)|null|
|**2026-06-24**|**Learning Action Priors for Cross-embodiment Robot Manipulation**|Dong Jing et.al.|[2606.26095](http://arxiv.org/abs/2606.26095)|null|
|**2026-06-24**|**Parnassus: A GPU-enabled, Python-based Package for Fast Particle Detector Simulation and Reconstruction**|Abdelrahman Elabd et.al.|[2606.26089](http://arxiv.org/abs/2606.26089)|null|
|**2026-06-24**|**Action ControlNet: A Lightweight Delay-Aware Adapter for Smooth Asynchronous Control in Vision-Language-Action Models**|Tiecheng Guo et.al.|[2606.25985](http://arxiv.org/abs/2606.25985)|null|
|**2026-06-24**|**Joint Residual Reweighting for Classifier Free Guidance in Flow-Matching Zero-Shot TTS**|Runwu Shi et.al.|[2606.25672](http://arxiv.org/abs/2606.25672)|null|
|**2026-06-23**|**Flow as Flow: Modeling Robot Velocity Fields as Probability Velocity Fields for Flow-Based Object Manipulation**|Koki Seno et.al.|[2606.23090](http://arxiv.org/abs/2606.23090)|null|
|**2026-06-23**|**Solving Inverse Problems of Chaotic Systems with Bidirectional Conditional Flow Matching**|Peiyan Hu et.al.|[2606.24824](http://arxiv.org/abs/2606.24824)|null|
|**2026-06-23**|**Beyond U-Net: A Latent-Representation-Aligned Skip-Free Backbone for Flow-Matching Speech Enhancement**|Wangyi Pu et.al.|[2606.24745](http://arxiv.org/abs/2606.24745)|null|
|**2026-06-23**|**What Do Flow-Based Inverse Solvers Approximate? A Posterior-Transport View**|Jian Xu et.al.|[2606.24516](http://arxiv.org/abs/2606.24516)|null|
|**2026-06-23**|**MedPCFM: Improving Medical Point Cloud Completion by Integrating Point Transformers and Flow Matching**|Kamil Kwarciak et.al.|[2606.24433](http://arxiv.org/abs/2606.24433)|null|
|**2026-06-23**|**MATCH: Flow Matching for Multi-View Anomaly Detection**|Mathis Kruse et.al.|[2606.24375](http://arxiv.org/abs/2606.24375)|null|
|**2026-06-23**|**FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning**|Xirui Li et.al.|[2606.24231](http://arxiv.org/abs/2606.24231)|null|
|**2026-06-23**|**The Geometry Behind Diffusion and Flow Matching: Gradient Flows and Geodesics in Wasserstein Space**|Yian Yao et.al.|[2606.24157](http://arxiv.org/abs/2606.24157)|null|
|**2026-06-23**|**NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction**|Wenhao Gao et.al.|[2606.24087](http://arxiv.org/abs/2606.24087)|null|
|**2026-06-22**|**MeshFlow: Mesh Generation with Equivariant Flow Matching**|Qi Sun et.al.|[2606.23489](http://arxiv.org/abs/2606.23489)|null|
|**2026-06-22**|**Flowing With Purpose: Latent Action Guided Flow Matching Policies For Robotic Manipulation**|Bruno Machado et.al.|[2606.23420](http://arxiv.org/abs/2606.23420)|null|
|**2026-06-22**|**Flow6D: Discrete-to-Continuous Flow Matching for Efficient and Accurate Category-Level 6D Pose Estimation**|Mingyu Mei et.al.|[2606.23293](http://arxiv.org/abs/2606.23293)|null|
|**2026-06-22**|**Safe Few-Step Generation via Velocity Editing**|Yujin Choi et.al.|[2606.23267](http://arxiv.org/abs/2606.23267)|null|
|**2026-06-22**|**FlowTTS-GRPO: Online Reinforcement Learning with Multi-Objective Reward Optimization for Flow-Matching Based Text-to-Speech**|Haoxu Wang et.al.|[2606.23190](http://arxiv.org/abs/2606.23190)|null|
|**2026-06-22**|**Synthesizing the Lombard Effect: Multi-Level Control of Speech Clarity and Vocal Effort in TTS**|Seymanur Akti et.al.|[2606.23176](http://arxiv.org/abs/2606.23176)|null|
|**2026-06-22**|**Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models**|Pinhao Song et.al.|[2606.23147](http://arxiv.org/abs/2606.23147)|null|
|**2026-06-22**|**AudioCALM: Continuous Autoregressive Language Modeling for Universal Audio Generation**|Huadai Liu et.al.|[2606.23080](http://arxiv.org/abs/2606.23080)|null|
|**2026-06-22**|**STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation**|Huadai Liu et.al.|[2606.23064](http://arxiv.org/abs/2606.23064)|null|
|**2026-06-22**|**PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models**|Ruolan Sun et.al.|[2606.22958](http://arxiv.org/abs/2606.22958)|null|
|**2026-06-22**|**One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields**|Yijing Zhou et.al.|[2606.22752](http://arxiv.org/abs/2606.22752)|null|
|**2026-06-22**|**Machine Learning and Deep Learning for Exoplanet Detection and Atmospheric Characterization with JWST and the Upcoming Ariel Mission**|Muallim Yakubu et.al.|[2606.23766](http://arxiv.org/abs/2606.23766)|null|
|**2026-06-21**|**Trajectory Forcing: Structure-First Generation with Controllable Semantic Trajectories**|Merve Kocabas et.al.|[2606.22527](http://arxiv.org/abs/2606.22527)|null|
|**2026-06-21**|**DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching**|Quanyuan Ruan et.al.|[2606.22445](http://arxiv.org/abs/2606.22445)|null|
|**2026-06-21**|**Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning**|Songtao Tian et.al.|[2606.22394](http://arxiv.org/abs/2606.22394)|null|
|**2026-06-21**|**Flow Annealing Posterior Sampling for Function-Space Regression and Inverse Problems**|Yaozhong Shi et.al.|[2606.22346](http://arxiv.org/abs/2606.22346)|null|
|**2026-06-21**|**FlowDPG: Deterministic Policy Gradient on Flow Matching Policies for Real-World Manipulation**|Kexin Shi et.al.|[2606.22303](http://arxiv.org/abs/2606.22303)|null|
|**2026-06-21**|**NullFlow: One-Step Generative Reconstruction**|Xiao Shi et.al.|[2606.22696](http://arxiv.org/abs/2606.22696)|null|
|**2026-06-20**|**Patched Flow Matching: Generative Wall-Pressure Reconstruction Beyond Training-Domain Scales from Sparse Sensors**|Meet Hemant Parikh et.al.|[2606.22084](http://arxiv.org/abs/2606.22084)|null|
|**2026-06-20**|**Artic-O: End-to-End Articulated Object Reconstruction via Latent Geometry Learning**|Xuyang Wang et.al.|[2606.21938](http://arxiv.org/abs/2606.21938)|null|
|**2026-06-19**|**TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields**|Haoxuan Li et.al.|[2606.20131](http://arxiv.org/abs/2606.20131)|null|
|**2026-06-19**|**CurvSegFlow: Time-Conditioned Flow Matching for Robust Segmentation of Curvilinear Structures in Noisy Biomedical Images**|Sidi Mohamed Sid'El Moctar et.al.|[2606.21608](http://arxiv.org/abs/2606.21608)|null|
|**2026-06-19**|**VQActFlow: Vector-Quantized Action Mode Steering for Multi-Task Robot Manipulation**|Zhigen Zhao et.al.|[2606.21600](http://arxiv.org/abs/2606.21600)|null|
|**2026-06-19**|**Intrinsic Flow Matching on Quantum Pure-State Manifolds with Phase-Aligned Transport**|Jian Xu et.al.|[2606.21256](http://arxiv.org/abs/2606.21256)|null|
|**2026-06-19**|**ReFPO: Reflow Regularization for Flow Matching Policy Gradients**|Ge Wang et.al.|[2606.21086](http://arxiv.org/abs/2606.21086)|null|
|**2026-06-19**|**BayesFP: Posterior Estimation for Flow-Based Policies via Feynman-Kac Sampling**|Sreevardhan Sirigiri et.al.|[2606.21014](http://arxiv.org/abs/2606.21014)|null|
|**2026-06-18**|**FineCombo-TTS: Collaborative and Precise Controllable Speech Synthesis Using Text Descriptions and Reference Speech**|Shuoyi Zhou et.al.|[2606.19209](http://arxiv.org/abs/2606.19209)|null|
|**2026-06-18**|**The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation**|Nicolas Dufour et.al.|[2606.20536](http://arxiv.org/abs/2606.20536)|null|
|**2026-06-18**|**FlowEdit: Associative Memory for Lifelong Pronunciation Adaptation in Flow-Matching TTS**|Harshit Singh et.al.|[2606.20518](http://arxiv.org/abs/2606.20518)|null|
|**2026-06-18**|**Transcript-Free Flow-Matching Text-to-Speech via Speech Feature Conditioning**|SooHwan Eom et.al.|[2606.20266](http://arxiv.org/abs/2606.20266)|null|
|**2026-06-18**|**FlowMaps: Modeling Long-Term Multimodal Object Dynamics with Flow Matching**|Francesco Argenziano et.al.|[2606.20209](http://arxiv.org/abs/2606.20209)|null|
|**2026-06-18**|**Frequency-Aware Flow Matching for Continuous and Consistent Robotic Action Generation**|Jianing Guo et.al.|[2606.20135](http://arxiv.org/abs/2606.20135)|null|
|**2026-06-18**|**Hybrid Diffusion Transformer for Instruction-Guided Audio Editing via Rectified Flow**|Liting Gao et.al.|[2606.20101](http://arxiv.org/abs/2606.20101)|null|
|**2026-06-18**|**Site-Specific MIMO Channel Generation via Diffusion and Flow Matching: Fidelity, Efficiency, and Downstream Utility**|Sina Beyraghi et.al.|[2606.20098](http://arxiv.org/abs/2606.20098)|null|
|**2026-06-18**|**Residual-Space Evolutionary Optimization via Flow-based Generative Models**|Zhuo Cao et.al.|[2606.20084](http://arxiv.org/abs/2606.20084)|null|
|**2026-06-18**|**CrossFlow: One-Step Generation Across Latent and Pixel Spaces**|Xiyuan Wang et.al.|[2606.19970](http://arxiv.org/abs/2606.19970)|null|
|**2026-06-18**|**Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems**|Nicolas Zilberstein et.al.|[2606.19802](http://arxiv.org/abs/2606.19802)|null|
|**2026-06-18**|**EquiVLA: A General Framework for Rotationally Equivariant Vision-Language-Action Models**|Thien-Loc Ha et.al.|[2606.19784](http://arxiv.org/abs/2606.19784)|null|
|**2026-06-18**|**Learning When to Denoise: Optimizing Asynchronous Schedules for Latent Diffusion**|Bingshuo Qian et.al.|[2606.19662](http://arxiv.org/abs/2606.19662)|null|
|**2026-06-18**|**B[FM] $^2$ : Brain Foundation Model via Flow Matching with SplitUNet**|Jaedong Hwang et.al.|[2606.20812](http://arxiv.org/abs/2606.20812)|null|
|**2026-06-17**|**Reference-Driven Multi-Speaker Audio Scene Generation from In-the-Wild Priors**|Michael Finkelson et.al.|[2606.19325](http://arxiv.org/abs/2606.19325)|null|
|**2026-06-17**|**Invertible Neural Network Adapter for One-Step Flow Matching in Robot Manipulation**|Yu Zhang et.al.|[2606.19194](http://arxiv.org/abs/2606.19194)|null|
|**2026-06-17**|**The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL**|Nicolas Beltran-Velez et.al.|[2606.19162](http://arxiv.org/abs/2606.19162)|null|
|**2026-06-17**|**FlowObject: Flow Steering for Bridging Generative Priors and Reconstruction Fidelity**|Yuchen Rao et.al.|[2606.19019](http://arxiv.org/abs/2606.19019)|null|
|**2026-06-17**|**Test-Time Adaptation in Optical Coherence Tomography Using Trajectory-Aligned Time-Independent Flow**|Veit Hucke et.al.|[2606.18876](http://arxiv.org/abs/2606.18876)|null|
|**2026-06-17**|**Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction**|YuCheng Tang et.al.|[2606.18869](http://arxiv.org/abs/2606.18869)|null|
|**2026-06-17**|**SpectralDiT: Timestep-Conditioned Spectral Residual Correction for Flow-Matching DiTs**|Jiayu Tian et.al.|[2606.18765](http://arxiv.org/abs/2606.18765)|null|
|**2026-06-17**|**MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction**|Jianing Zhang et.al.|[2606.18558](http://arxiv.org/abs/2606.18558)|null|
|**2026-06-17**|**Latent Confounded Causal Discovery via Lie Bracket Geometry**|Sridhar Mahadevan et.al.|[2606.19610](http://arxiv.org/abs/2606.19610)|null|
|**2026-06-17**|**ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?**|Yuyang Zhang et.al.|[2606.19531](http://arxiv.org/abs/2606.19531)|null|
|**2026-06-16**|**MimicIK: Real-Time Generative Inverse Kinematics from Teleoperation with FK Consistency**|Jiahao Yang et.al.|[2606.15148](http://arxiv.org/abs/2606.15148)|null|
|**2026-06-16**|**One-Step Token-to-Waveform Generation with MeanFlow in Latent Space**|Zheqi Dai et.al.|[2606.18072](http://arxiv.org/abs/2606.18072)|null|
|**2026-06-16**|**Uncertainty Quantification for Flow-Based Vision-Language-Action Models**|Ralf Römer et.al.|[2606.18043](http://arxiv.org/abs/2606.18043)|null|
|**2026-06-16**|**PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement**|Jun Gao et.al.|[2606.17806](http://arxiv.org/abs/2606.17806)|null|
|**2026-06-16**|**Reversal Q-Learning**|Aditya Oberai et.al.|[2606.17551](http://arxiv.org/abs/2606.17551)|null|
|**2026-06-16**|**Where Should Action Generation Begin? A Learnable Source Prior for Generative Robot Policies**|Meipo Dai et.al.|[2606.17408](http://arxiv.org/abs/2606.17408)|null|
|**2026-06-16**|**VEGA: Learning Navigation VLAs from In-the-Wild Egocentric Video with Geometric Trajectory Supervision**|Gershom Seneviratne et.al.|[2606.18426](http://arxiv.org/abs/2606.18426)|null|
|**2026-06-15**|**ExoTraj: A General Lower-limb Exoskeleton Assistance Policy for Complex Environments**|Xiao-Yin Liu et.al.|[2606.16876](http://arxiv.org/abs/2606.16876)|null|
|**2026-06-15**|**Decision-Weighted Flow Matching for Contextual Stochastic Optimization**|Jize Xie et.al.|[2606.16790](http://arxiv.org/abs/2606.16790)|null|
|**2026-06-15**|**Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees**|Marta Gentiloni Silveri et.al.|[2606.16610](http://arxiv.org/abs/2606.16610)|null|
|**2026-06-15**|**RGFVR: Reference-Guided Face Video Restoration with Flow Matching**|Cem Eteke et.al.|[2606.16401](http://arxiv.org/abs/2606.16401)|null|
|**2026-06-15**|**FlowMPC: Improving Flow Matching policies with World Models**|Chandon Hamel et.al.|[2606.16286](http://arxiv.org/abs/2606.16286)|null|
|**2026-06-15**|**LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT Reconstruction**|Jigang Duan et.al.|[2606.16212](http://arxiv.org/abs/2606.16212)|null|
|**2026-06-15**|**Human Universal Grasping**|Kevin Yuanbo Wu et.al.|[2606.17054](http://arxiv.org/abs/2606.17054)|null|
|**2026-06-15**|**Transformer-Based Warm-Starting for Feasible and Optimal Terminal Approach to Tumbling Objects with Space Manipulators**|Yuji Takubo et.al.|[2606.17317](http://arxiv.org/abs/2606.17317)|null|
|**2026-06-14**|**Topological Flow Matching**|Kacper Wyrwal et.al.|[2606.15897](http://arxiv.org/abs/2606.15897)|null|
|**2026-06-14**|**Transferring Contact, Not Just Motion: Compliant Grasping Across Dexterous Hands**|Soofiyan Atar et.al.|[2606.15516](http://arxiv.org/abs/2606.15516)|null|
|**2026-06-13**|**PHINN: Persistent Homology Inspired Neural Network for Rare-Event Time Series Generation**|Emre Yusuf et.al.|[2606.15452](http://arxiv.org/abs/2606.15452)|null|
|**2026-06-13**|**The Reverse Telescoping Coordinate System for Positive Definite Matrices: Geometry, Computation, and Generative Modeling**|Anindya Bhadra et.al.|[2606.15442](http://arxiv.org/abs/2606.15442)|null|
|**2026-06-13**|**CausalDrive: Real-time Causal World Models for Autonomous Driving**|Tianyi Yan et.al.|[2606.15341](http://arxiv.org/abs/2606.15341)|null|
|**2026-06-13**|**Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures**|Junoh Kang et.al.|[2606.15332](http://arxiv.org/abs/2606.15332)|null|
|**2026-06-12**|**Improving Robotic Generalist Policies via Flow Reversal Steering**|Andy Tang et.al.|[2606.13675](http://arxiv.org/abs/2606.13675)|null|
|**2026-06-12**|**EquiDexFlow: Contact-Grounded SE(3)-Equivariant Dexterous Grasp Generative Flows**|Clinton Enwerem et.al.|[2606.12728](http://arxiv.org/abs/2606.12728)|null|
|**2026-06-12**|**Mask, Sample, Revise: A Revisable CTMC Inference Stack for Guided Discrete Flow Matching Text-to-Speech**|Alef Iury Siqueira Ferreira et.al.|[2606.13989](http://arxiv.org/abs/2606.13989)|null|
|**2026-06-12**|**Pre-Training for Simulation-Based Science: A Study on Jet Foundation Model Training Objectives**|Ibrahim Elsharkawy et.al.|[2606.14870](http://arxiv.org/abs/2606.14870)|null|
|**2026-06-11**|**$\texttt{WEAVER}$ , Better, Faster, Longer: An Effective World Model for Robotic Manipulation**|Arnav Kumar Jain et.al.|[2606.13672](http://arxiv.org/abs/2606.13672)|null|
|**2026-06-11**|**World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible**|Hao Zhang et.al.|[2606.13652](http://arxiv.org/abs/2606.13652)|null|
|**2026-06-11**|**Surflo: Consistent 3D Surface Flow Model with Global State**|Antoine Guédon et.al.|[2606.13644](http://arxiv.org/abs/2606.13644)|null|
|**2026-06-11**|**LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories**|Baochang Ren et.al.|[2606.13578](http://arxiv.org/abs/2606.13578)|null|
|**2026-06-11**|**PolyFlow: Safe and Efficient Polytope-Constrained Flow Matching with Constraint Embedding and Projection-free Update**|Jianming Ma et.al.|[2606.13400](http://arxiv.org/abs/2606.13400)|null|
|**2026-06-11**|**Real-Time Execution with Autoregressive Policies**|Sangkyu Lee et.al.|[2606.13355](http://arxiv.org/abs/2606.13355)|null|
|**2026-06-11**|**ReFree: Towards Realistic Co-Speech Video Generation via Reward-Free RL and Multilevel Speech Guidance**|Salaheldin Mohamed et.al.|[2606.13304](http://arxiv.org/abs/2606.13304)|null|
|**2026-06-11**|**The Geometry of Phase Transitions in Generative Dynamics via Projection Caustics**|Ryosuke Sakamoto et.al.|[2606.13191](http://arxiv.org/abs/2606.13191)|null|
|**2026-06-11**|**3DSTokesFlow: simulation-based inference for 3D Stokes profiles using flow matching**|A. Asensio Ramos et.al.|[2606.13004](http://arxiv.org/abs/2606.13004)|null|
|**2026-06-11**|**Reliability of Probabilistic Emulation of Physical Systems**|Sam F. Greenbury et.al.|[2606.12997](http://arxiv.org/abs/2606.12997)|null|
|**2026-06-11**|**AIR-VLA+: Decoupling Movement and Manipulation via Cascaded Dual-Action Decoders with Asymmetric MoE for Aerial Robots**|Jianli Sun et.al.|[2606.12859](http://arxiv.org/abs/2606.12859)|null|
|**2026-06-11**|**OCOO-T : A Simple and Scalable Virtual Cell Model for Transcriptional Perturbation Response Prediction**|Danning Jiang et.al.|[2606.12838](http://arxiv.org/abs/2606.12838)|null|
|**2026-06-11**|**Avatar V: Scaling Video-Reference Avatar Video Generation**|Benjamin Liang et.al.|[2606.13872](http://arxiv.org/abs/2606.13872)|null|
|**2026-06-11**|**QPILOTS: Efficient Test-Time Q-Steering for Flow Policies**|Yifan Ruan et.al.|[2606.14801](http://arxiv.org/abs/2606.14801)|null|
|**2026-06-10**|**Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models**|Yuxuan Chen et.al.|[2606.10046](http://arxiv.org/abs/2606.10046)|null|
|**2026-06-10**|**PianoKontext: Expressive Performance Rendering from Deadpan Context**|Dmitrii Gavrilev et.al.|[2606.12282](http://arxiv.org/abs/2606.12282)|null|
|**2026-06-10**|**Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs**|Deep Gandhi et.al.|[2606.12280](http://arxiv.org/abs/2606.12280)|null|
|**2026-06-10**|**DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds**|Weirong Chen et.al.|[2606.12189](http://arxiv.org/abs/2606.12189)|null|
|**2026-06-10**|**TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation**|Cheng-Feng Pu et.al.|[2606.12153](http://arxiv.org/abs/2606.12153)|null|
|**2026-06-10**|**SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation**|Xu Zhang et.al.|[2606.11969](http://arxiv.org/abs/2606.11969)|null|
|**2026-06-10**|**Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics**|Sam Gijsen et.al.|[2606.11833](http://arxiv.org/abs/2606.11833)|null|
|**2026-06-10**|**Spectrally Regularized Latent Flow Matching for Turbulence Generation**|Khalid Rafiq et.al.|[2606.11691](http://arxiv.org/abs/2606.11691)|null|
|**2026-06-10**|**From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation**|Honglin He et.al.|[2606.12603](http://arxiv.org/abs/2606.12603)|null|
|**2026-06-10**|**HairPort: In-context 3D-aware Hair Import and Transfer for Images**|Alireza Heidari et.al.|[2606.12562](http://arxiv.org/abs/2606.12562)|null|
|**2026-06-10**|**AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation**|Zeyue Tian et.al.|[2606.12555](http://arxiv.org/abs/2606.12555)|null|
|**2026-06-09**|**FlashTTS: Fast Streaming TTS with MTP Acceleration and X-pred Mean Flow Distillation**|Hanke Xie et.al.|[2606.09141](http://arxiv.org/abs/2606.09141)|null|
|**2026-06-09**|**Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models**|An Zhao et.al.|[2606.11155](http://arxiv.org/abs/2606.11155)|null|
|**2026-06-09**|**Exploring the Design Space of Reward Backpropagation for Flow Matching**|Ruoyu Wang et.al.|[2606.11075](http://arxiv.org/abs/2606.11075)|null|
|**2026-06-09**|**Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models**|Bowen Ping et.al.|[2606.11025](http://arxiv.org/abs/2606.11025)|null|
|**2026-06-09**|**Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning**|Thanh Nguyen et.al.|[2606.10613](http://arxiv.org/abs/2606.10613)|null|
|**2026-06-09**|**Flexible Flows for Biological Sequence Design**|Yogesh Verma et.al.|[2606.10543](http://arxiv.org/abs/2606.10543)|null|
|**2026-06-09**|**LAFP: Preserving Latent Action Structure in Latent Policy Learning via Flow Matching**|Jiexi Lyu et.al.|[2606.10517](http://arxiv.org/abs/2606.10517)|null|
|**2026-06-09**|**Test-time Adversarial Takeover: A Real-time Hijacking Interface against Robotic Diffusion Policies**|Zi Yin et.al.|[2606.10371](http://arxiv.org/abs/2606.10371)|null|
|**2026-06-09**|**Flow-based generative models for amortized Bayesian inference in regression and inverse PDE problems**|Shaoqian Zhou et.al.|[2606.10370](http://arxiv.org/abs/2606.10370)|null|
|**2026-06-09**|**Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation**|Xuanchen Li et.al.|[2606.10368](http://arxiv.org/abs/2606.10368)|null|
|**2026-06-09**|**FoA-SR: Faithful or Aesthetic? Profile-Aware Preference Optimization for Real-World Image Super-Resolution**|Amjad Mahdi Alqarni et.al.|[2606.10275](http://arxiv.org/abs/2606.10275)|null|
|**2026-06-08**|**LangRetrieval: Language-Guided Self-Evolving Satellite-to-Radar Retrieval via CSI-Driven Reward**|Chunlei Shi et.al.|[2606.09486](http://arxiv.org/abs/2606.09486)|null|
|**2026-06-08**|**KPGrasp: Scalable Keypoint Flow Matching for Dexterous Grasp Generation**|Yuansen Huang et.al.|[2606.09314](http://arxiv.org/abs/2606.09314)|null|
|**2026-06-08**|**LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution**|Yu Cao et.al.|[2606.09250](http://arxiv.org/abs/2606.09250)|null|
|**2026-06-08**|**End-to-End Training for Discrete Token LLM based TTS System**|Changfeng Gao et.al.|[2606.09234](http://arxiv.org/abs/2606.09234)|null|
|**2026-06-08**|**BareWave: Waveform-Native Flow-Matching Text-to-Speech**|Wei Fan et.al.|[2606.09048](http://arxiv.org/abs/2606.09048)|null|
|**2026-06-08**|**Self-Consistent Generative Paths via Admissible Random Variational Transport**|Lei Luo et.al.|[2606.08953](http://arxiv.org/abs/2606.08953)|null|
|**2026-06-08**|**Compositional Generative Modeling from Decentralized Data**|Mashrur M. Morshed et.al.|[2606.10153](http://arxiv.org/abs/2606.10153)|null|
|**2026-06-08**|**A Theory on Flow Matching with Neural Networks**|Yihan He et.al.|[2606.10089](http://arxiv.org/abs/2606.10089)|null|
|**2026-06-07**|**CSFlow: Aligning Flow Matching with Human Contrast Sensitivity**|Malgorzata Galinska et.al.|[2606.08833](http://arxiv.org/abs/2606.08833)|null|
|**2026-06-07**|**Learning to Solve Generative ODEs Beyond the Linear Span**|Sihyeon Kim et.al.|[2606.08672](http://arxiv.org/abs/2606.08672)|null|
|**2026-06-07**|**WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis**|Danilo Danese et.al.|[2606.08670](http://arxiv.org/abs/2606.08670)|null|
|**2026-06-07**|**Latent Diffusion Policy: Shaping Latent Spaces for Diffusion-Based Robotic Manipulation**|Zhexuan Zhou et.al.|[2606.08657](http://arxiv.org/abs/2606.08657)|null|
|**2026-06-07**|**Reinforcement Learning for Flow-Matching Policies with Density Transport**|Boshu Lei et.al.|[2606.08602](http://arxiv.org/abs/2606.08602)|null|
|**2026-06-07**|**SMC-ITA: Sequential Monte Carlo Inference-Time Alignment for Video-to-Audio Generation**|Haoyu Zhang et.al.|[2606.08393](http://arxiv.org/abs/2606.08393)|null|
|**2026-06-06**|**SynthICL: Scalable In-context Imitation Learning with Synthetic Data**|Cheng Qian et.al.|[2606.08154](http://arxiv.org/abs/2606.08154)|null|
|**2026-06-06**|**vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models**|Khanh D. Nguyen et.al.|[2606.08094](http://arxiv.org/abs/2606.08094)|null|
|**2026-06-06**|**Q-VGM: Q-Guided Value-Gradient Matching for Flow-Matching VLA Policies**|Ziqian Wang et.al.|[2606.08015](http://arxiv.org/abs/2606.08015)|null|
|**2026-06-06**|**FMRFusion: Frequency-Aware Multi-View Representation Learning for Heterogeneous Image Fusion**|Tao Zhoua et.al.|[2606.07985](http://arxiv.org/abs/2606.07985)|null|
|**2026-06-05**|**Spline Policy: A Structured Representation for Robot Policies**|Mengze Tian et.al.|[2606.07386](http://arxiv.org/abs/2606.07386)|null|
|**2026-06-05**|**dots.tts Technical Report**|Shi Lian et.al.|[2606.07080](http://arxiv.org/abs/2606.07080)|null|
|**2026-06-05**|**STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation**|Won June Cho et.al.|[2606.07036](http://arxiv.org/abs/2606.07036)|null|
|**2026-06-05**|**ActionMap: Robot Policy Learning via Voxel Action Heatmap**|Pei Yang et.al.|[2606.06904](http://arxiv.org/abs/2606.06904)|null|
|**2026-06-05**|**scCBGM: Interpretable Single-Cell Counterfactual Editing**|Alma Andersson et.al.|[2606.07760](http://arxiv.org/abs/2606.07760)|null|
|**2026-06-05**|**MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science**|Zhan'ao Yao et.al.|[2606.07712](http://arxiv.org/abs/2606.07712)|null|
|**2026-06-04**|**Coreset-Induced Conditional Velocity Flow Matching**|Xiao Wang et.al.|[2605.12951](http://arxiv.org/abs/2605.12951)|null|
|**2026-06-04**|**PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data**|Ziwen Kan et.al.|[2606.06328](http://arxiv.org/abs/2606.06328)|null|
|**2026-06-04**|**Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events**|Rishal Aggarwal et.al.|[2606.06295](http://arxiv.org/abs/2606.06295)|null|
|**2026-06-04**|**Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation**|Rickmer Krohn et.al.|[2606.06281](http://arxiv.org/abs/2606.06281)|null|
|**2026-06-04**|**Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image Restoration**|Akshay Janardan Bankar et.al.|[2606.06278](http://arxiv.org/abs/2606.06278)|null|
|**2026-06-04**|**SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing**|Haowang Cui et.al.|[2606.06228](http://arxiv.org/abs/2606.06228)|null|
|**2026-06-04**|**WorldFly: A World-Model-Based Vision-Language-Action Model for UAV Navigation**|Shengtao Zheng et.al.|[2606.06147](http://arxiv.org/abs/2606.06147)|null|
|**2026-06-04**|**Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing**|Yuxiao Ye et.al.|[2606.05950](http://arxiv.org/abs/2606.05950)|null|
|**2026-06-04**|**UniVoice: A Unified Model for Speech and Singing Voice Generation**|Junjie Zheng et.al.|[2606.05852](http://arxiv.org/abs/2606.05852)|null|
|**2026-06-04**|**DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models**|Zhuoming Liu et.al.|[2606.05758](http://arxiv.org/abs/2606.05758)|null|
|**2026-06-04**|**The Right Measure for Physics-Constrained Generation: A Co-Area Correction for Posterior-Consistent PDE Inverse Problems**|Jian Xu et.al.|[2606.04804](http://arxiv.org/abs/2606.04804)|null|
|**2026-06-04**|**S23DR 2026 Winning Solution**|Jan Skvrna et.al.|[2606.06695](http://arxiv.org/abs/2606.06695)|null|
|**2026-06-04**|**Spatiotemporal Imputation with Graph-Informed Flow Matching**|Zepeng Zhang et.al.|[2606.06682](http://arxiv.org/abs/2606.06682)|null|
|**2026-06-04**|**Capturing non-Markovian dynamics in non-equilibrium stochastic systems using flow matching**|Bhargav Sriram Siddani et.al.|[2606.06658](http://arxiv.org/abs/2606.06658)|null|
|**2026-06-03**|**FlowPRO: Reward-Free Reinforced Fine-Tuning of Flow-Matching VLAs via Proximalized Preference Optimization**|Yihao Wu et.al.|[2606.05468](http://arxiv.org/abs/2606.05468)|null|
|**2026-06-03**|**UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching**|Qilin Huang et.al.|[2606.05399](http://arxiv.org/abs/2606.05399)|null|
|**2026-06-03**|**Multimarginal flow matching with optimal transport potentials**|Raghav Kansal et.al.|[2606.05327](http://arxiv.org/abs/2606.05327)|null|
|**2026-06-03**|**Potential-Guided Flow Matching for Vision-Language-Action Policy Improvement**|Yunpeng Mei et.al.|[2606.04968](http://arxiv.org/abs/2606.04968)|null|
|**2026-06-03**|**SURF: Separation via Unsupervised Remixing Flow**|Henry Li et.al.|[2606.04921](http://arxiv.org/abs/2606.04921)|null|
|**2026-06-03**|**Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment**|Cong Wang et.al.|[2606.04737](http://arxiv.org/abs/2606.04737)|null|
|**2026-06-03**|**Flow-HOA: Generative Joint Optimization for Ambisonics Encoding via Flow Matching**|Yuhuan You et.al.|[2606.04570](http://arxiv.org/abs/2606.04570)|null|
|**2026-06-02**|**Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation**|Yilong Wang et.al.|[2606.04269](http://arxiv.org/abs/2606.04269)|null|
|**2026-06-02**|**CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters**|Cheng Jiang et.al.|[2606.04165](http://arxiv.org/abs/2606.04165)|null|
|**2026-06-02**|**Optimal Transport Flow Matching by Design**|Shimon Malnick et.al.|[2606.04092](http://arxiv.org/abs/2606.04092)|null|
|**2026-06-02**|**Bootstrap Your Generator: Unpaired Visual Editing with Flow Matching**|Yoad Tewel et.al.|[2606.03911](http://arxiv.org/abs/2606.03911)|null|
|**2026-06-02**|**Let the Dynamics Flow: Stable Flow Matching Dynamical Systems**|Rodrigo Pérez-Dattari et.al.|[2606.03834](http://arxiv.org/abs/2606.03834)|null|
|**2026-06-02**|**WavTTS: Towards High-Quality Zero-Shot TTS via Direct Raw Waveform Modeling**|Wenxi Chen et.al.|[2606.03455](http://arxiv.org/abs/2606.03455)|null|
|**2026-06-02**|**FlowGuard: Flow Matching for Identity-Independent Detection of Data-Free Model Stealing Attacks on Energy System Intrusion Detection Systems**|Maxime Schwarzer et.al.|[2606.03430](http://arxiv.org/abs/2606.03430)|null|
|**2026-06-02**|**Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching**|Alston Lo et.al.|[2606.03199](http://arxiv.org/abs/2606.03199)|null|
|**2026-06-02**|**Equivariant Latent Alignment via Flow Matching under Group Symmetries**|Sunghyun Kim et.al.|[2605.30705](http://arxiv.org/abs/2605.30705)|null|
|**2026-06-01**|**EntangleCodec: A Unified Discrete Audio Tokenizer via Semantic-Acoustic Entanglement**|Hui Li et.al.|[2606.02739](http://arxiv.org/abs/2606.02739)|null|
|**2026-06-01**|**Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior**|Xiang Li et.al.|[2606.02453](http://arxiv.org/abs/2606.02453)|null|
|**2026-06-01**|**CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation**|Shibo Zhu et.al.|[2606.02287](http://arxiv.org/abs/2606.02287)|null|
|**2026-06-01**|**On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching**|Mohammad Rashed et.al.|[2606.02179](http://arxiv.org/abs/2606.02179)|null|
|**2026-06-01**|**Low-Pass Flow Matching**|Francesco M. Ruscio et.al.|[2606.02177](http://arxiv.org/abs/2606.02177)|null|
|**2026-06-01**|**MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching**|Jiahui Huang et.al.|[2606.01985](http://arxiv.org/abs/2606.01985)|null|
|**2026-06-01**|**JenBridge: Adaptive Long-Form Video Soundtracking across Scene Transitions**|Jiashuo Yu et.al.|[2606.01703](http://arxiv.org/abs/2606.01703)|null|
|**2026-06-01**|**Wall-OSS-0.5 Technical Report**|Ryan Yu et.al.|[2605.30877](http://arxiv.org/abs/2605.30877)|null|
|**2026-06-01**|**Adversarial Dual On-Policy Distillation from Expressive Teacher**|Zhenglin Wan et.al.|[2605.27095](http://arxiv.org/abs/2605.27095)|null|
|**2026-05-31**|**Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies**|Hikmet Simsir et.al.|[2606.01151](http://arxiv.org/abs/2606.01151)|null|
|**2026-05-31**|**Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry**|Zemin Yang et.al.|[2606.01098](http://arxiv.org/abs/2606.01098)|null|
|**2026-05-30**|**DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning**|Limin Yan et.al.|[2606.00519](http://arxiv.org/abs/2606.00519)|null|
|**2026-05-30**|**Capability and Robustness Cannot Both Be Free: An Information-Theoretic Bound for Vision-Language-Action Models**|Jianwei Tai et.al.|[2605.25889](http://arxiv.org/abs/2605.25889)|null|
|**2026-05-29**|**(HB-ARFM) History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction**|Xianwei Zou et.al.|[2606.00349](http://arxiv.org/abs/2606.00349)|null|
|**2026-05-29**|**Flow Matching for Convective-Scale Precipitation Downscaling**|Tom Wetherell et.al.|[2606.00281](http://arxiv.org/abs/2606.00281)|null|
|**2026-05-29**|**Geodesic Flow Matching for Denoising High-Dimensional Structured Representations**|Karim Habashy et.al.|[2606.00248](http://arxiv.org/abs/2606.00248)|null|
|**2026-05-29**|**LithoGRPO: Fast Inverse Lithography via GRPO Reinforced Flow Matching**|Yao Lai et.al.|[2606.00228](http://arxiv.org/abs/2606.00228)|null|
|**2026-05-29**|**VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching**|Tuan Duc Ngo et.al.|[2605.31466](http://arxiv.org/abs/2605.31466)|null|
|**2026-05-29**|**TokTalk: Expressive Real-time Facial Animation from Audio-LLM Tokens**|Qingcheng Zhao et.al.|[2605.31294](http://arxiv.org/abs/2605.31294)|null|
|**2026-05-29**|**DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation**|Taiyi Su et.al.|[2605.31286](http://arxiv.org/abs/2605.31286)|null|
|**2026-05-29**|**SwanVoice: Expressive Long-Form Zero-Shot Speech Synthesis for Both Monologue and Dialogue**|Ruiqi Li et.al.|[2605.30993](http://arxiv.org/abs/2605.30993)|null|
|**2026-05-29**|**Geometric Erasure by Contrastive Velocity Matching in Rectified Flows**|Jonas Henry Grebe et.al.|[2606.00140](http://arxiv.org/abs/2606.00140)|null|
|**2026-05-28**|**GPIC: A Giant Permissive Image Corpus for Visual Generation**|Keshigeyan Chandrasegaran et.al.|[2605.30341](http://arxiv.org/abs/2605.30341)|null|
|**2026-05-28**|**SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer**|Yuyang Zhao et.al.|[2605.30409](http://arxiv.org/abs/2605.30409)|null|
|**2026-05-28**|**UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering**|Yingdong Shi et.al.|[2605.30076](http://arxiv.org/abs/2605.30076)|null|
|**2026-05-28**|**Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations**|Renu Singh et.al.|[2605.29976](http://arxiv.org/abs/2605.29976)|null|
|**2026-05-28**|**Midpoint Generative Models**|Daniil Shlenskii et.al.|[2605.29920](http://arxiv.org/abs/2605.29920)|null|
|**2026-05-28**|**Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification**|Hwa Hui Tew et.al.|[2605.30387](http://arxiv.org/abs/2605.30387)|null|
|**2026-05-28**|**Autoregression-Free Neural Operators for Time-Dependent PDEs**|Jiaquan Zhang et.al.|[2605.25413](http://arxiv.org/abs/2605.25413)|null|
|**2026-05-28**|**HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos**|Zhi Wang et.al.|[2605.24934](http://arxiv.org/abs/2605.24934)|null|
|**2026-05-27**|**Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields**|Julien Lalanne et.al.|[2605.28625](http://arxiv.org/abs/2605.28625)|null|
|**2026-05-27**|**DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving**|Chen Shi et.al.|[2605.28544](http://arxiv.org/abs/2605.28544)|null|
|**2026-05-27**|**Universal Time Series Generation with Neural Controlled Differential Equations**|Torben Berndt et.al.|[2605.28507](http://arxiv.org/abs/2605.28507)|null|
|**2026-05-27**|**ProgVLA: Progress-Aware Robot Manipulation Skill Learning**|Seungsu Kim et.al.|[2605.28231](http://arxiv.org/abs/2605.28231)|null|
|**2026-05-27**|**Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses**|Kerui Peng et.al.|[2605.27971](http://arxiv.org/abs/2605.27971)|null|
|**2026-05-27**|**Dasheng AudioGen: A Unified Model for Generating Coherent Audio Scenes from Text**|Jiahao Mei et.al.|[2605.27838](http://arxiv.org/abs/2605.27838)|null|
|**2026-05-27**|**JLT: Clean-Latent Prediction in Latent Diffusion Transformers**|Funing Fu et.al.|[2605.27102](http://arxiv.org/abs/2605.27102)|null|
|**2026-05-27**|**A Tutorial on Diffusion Theory: From Differential Equations to Diffusion Models**|Jiayi Fu et.al.|[2605.22586](http://arxiv.org/abs/2605.22586)|null|
|**2026-05-26**|**Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction**|Forouzan Fallah et.al.|[2605.27726](http://arxiv.org/abs/2605.27726)|null|
|**2026-05-26**|**GenSBI: Generative Methods for Simulation-Based Inference in JAX**|Aurelio Amerio et.al.|[2605.27499](http://arxiv.org/abs/2605.27499)|null|
|**2026-05-26**|**CFMDCTCodec: A Low-Bitrate Neural Speech Codec with Noise-Prior-aware Conditional Flow Matching for MDCT-Spectral Enhancement**|Xiao-Hang Jiang et.al.|[2605.26812](http://arxiv.org/abs/2605.26812)|null|
|**2026-05-26**|**APEX: Amplitude Anchors and Phase Priors for Target-Scarce Higher-Frequency Wave Prediction**|Yifan Sun et.al.|[2605.26732](http://arxiv.org/abs/2605.26732)|null|
|**2026-05-26**|**Recursive Flow Matching**|Jiahe Huang et.al.|[2605.26535](http://arxiv.org/abs/2605.26535)|null|
|**2026-05-26**|**FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis**|Peiyu Duan et.al.|[2605.26423](http://arxiv.org/abs/2605.26423)|null|
|**2026-05-26**|**ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement**|Yufeng Yang et.al.|[2605.25569](http://arxiv.org/abs/2605.25569)|null|
|**2026-05-25**|**Two-Parameter Flows for Learning Population Dynamics of Physical Systems**|Paul Schwerdtner et.al.|[2605.26285](http://arxiv.org/abs/2605.26285)|null|
|**2026-05-25**|**On-Policy Adversarial Flow Distillation for Autoregressive Video Generation**|Yang Luo et.al.|[2605.26105](http://arxiv.org/abs/2605.26105)|null|
|**2026-05-25**|**HumanFlow -- Diffusion-Driven MAV Navigation Among Humans via Tightly-Coupled Motion Tracking, Forecasting, and Control**|Simon Schaefer et.al.|[2605.25685](http://arxiv.org/abs/2605.25685)|null|
|**2026-05-25**|**Ultra-Low-Bitrate Mel-Spectrogram-based Neural Speech Coding with Flow-Matching-based Refinement and Vocoding-driven Reconstruction**|Hui-Peng Du et.al.|[2605.25669](http://arxiv.org/abs/2605.25669)|null|
|**2026-05-25**|**Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition**|Yunqing Liu et.al.|[2605.25577](http://arxiv.org/abs/2605.25577)|null|
|**2026-05-25**|**Guided Flow Matching for Forward and Inverse PDE Problems with Sparse Observations: Algorithm and Theory**|Xifeng Zhang et.al.|[2605.25509](http://arxiv.org/abs/2605.25509)|null|
|**2026-05-25**|**Full-4D: Generating Full-Scope 4D Scenes from a Single-View Video**|Tingxi Chen et.al.|[2605.25500](http://arxiv.org/abs/2605.25500)|null|
|**2026-05-25**|**FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models**|Yi Sun et.al.|[2605.19739](http://arxiv.org/abs/2605.19739)|null|
|**2026-05-25**|**CounterFlow: A Two-Phase Inference-Time Sampling for Counterfactual Video Foley Generation**|Gyubin Lee et.al.|[2605.18916](http://arxiv.org/abs/2605.18916)|null|
|**2026-05-24**|**Geometry-Aware Image Flow Matching**|Junho Lee et.al.|[2605.25294](http://arxiv.org/abs/2605.25294)|null|
|**2026-05-24**|**FMSIM: A Multimodal Flow Matching Framework for Conditional Geomodeling**|Jiayuan Huang et.al.|[2605.25161](http://arxiv.org/abs/2605.25161)|null|
|**2026-05-24**|**Action with Visual Primitives**|Weilong Guo et.al.|[2605.22183](http://arxiv.org/abs/2605.22183)|null|
|**2026-05-23**|**Follow the Mean: Reference-Guided Flow Matching**|Pedro M. P. Curvo et.al.|[2605.10302](http://arxiv.org/abs/2605.10302)|null|
|**2026-05-23**|**Smoother Action Chunking Flow Policy via Prior-Corrected Orthogonal Trust-Region Guidance**|Kai Fang et.al.|[2605.24433](http://arxiv.org/abs/2605.24433)|null|
|**2026-05-22**|**Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications**|Roman Pavelkin et.al.|[2606.00078](http://arxiv.org/abs/2606.00078)|null|
|**2026-05-22**|**Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models**|Jade Zou et.al.|[2605.23522](http://arxiv.org/abs/2605.23522)|null|
|**2026-05-22**|**Learning Individual Dynamics from Sparse Cross-Sectional Snapshots**|Christian Lagemann et.al.|[2605.23470](http://arxiv.org/abs/2605.23470)|null|
|**2026-05-22**|**Score-Based One-step MeanFlow Policy Optimization**|Kyungyoon Kim et.al.|[2605.23365](http://arxiv.org/abs/2605.23365)|null|
|**2026-05-22**|**Sparse Compositional Flow Matching by geometric assembly from motion primitives**|Yan Tang et.al.|[2605.23341](http://arxiv.org/abs/2605.23341)|null|
|**2026-05-22**|**PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation**|Junru Zhang et.al.|[2605.28867](http://arxiv.org/abs/2605.28867)|null|
|**2026-05-22**|**$π_0$ -EqM: Equilibrium Matching for Closed-Loop Vision-Language-Action Control**|Huanming Liu et.al.|[2605.23128](http://arxiv.org/abs/2605.23128)|null|
|**2026-05-22**|**Increasing the Precision of Surrogate Models for Weak Lensing Mass Maps with Flow Matching**|Guangjian Li et.al.|[2605.23114](http://arxiv.org/abs/2605.23114)|null|
|**2026-05-22**|**LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation**|Langzhang Liang et.al.|[2605.22252](http://arxiv.org/abs/2605.22252)|null|
|**2026-05-21**|**Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models**|Shengzhe Chen et.al.|[2605.23070](http://arxiv.org/abs/2605.23070)|null|
|**2026-05-21**|**Eroding Trust in Real Speech: A Large-Scale Study of Human Audio Deepfake Perception**|Nicolas M. Müller et.al.|[2605.26136](http://arxiv.org/abs/2605.26136)|null|
|**2026-05-21**|**Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields**|Rémi Schlama et.al.|[2605.22990](http://arxiv.org/abs/2605.22990)|null|
|**2026-05-21**|**From Snapshots to Trajectories: Learning Single-Cell Gene Expression Dynamics via Conditional Flow Matching**|Siyu Pu et.al.|[2605.22340](http://arxiv.org/abs/2605.22340)|null|
|**2026-05-21**|**Flow-based Gaussian Splatting for Continuous-Scale Remote Sensing Image Super-Resolution**|Jiangwei Mo et.al.|[2605.22147](http://arxiv.org/abs/2605.22147)|null|
|**2026-05-21**|**RobustSpeechFlow: Learning Robust Text-to-Speech Trajectories via Augmentation-based Contrastive Flow Matching**|Jinhyeok Yang et.al.|[2605.22083](http://arxiv.org/abs/2605.22083)|null|
|**2026-05-21**|**RiT: Vanilla Diffusion Transformers Suffice in Representation Space**|Le Zhang et.al.|[2605.21981](http://arxiv.org/abs/2605.21981)|null|
|**2026-05-21**|**PhylaFlow: Hybrid Flow Matching in Billera-Holmes-Vogtmann Tree Space for Phylogenetic Inference**|Yasha Ektefaie et.al.|[2605.21859](http://arxiv.org/abs/2605.21859)|null|
|**2026-05-21**|**CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models**|Zhi Liu et.al.|[2605.21854](http://arxiv.org/abs/2605.21854)|null|
|**2026-05-20**|**Disentangling Generation and Regression in Stochastic Interpolants for Controllable Image Restoration**|Yi Liu et.al.|[2605.21381](http://arxiv.org/abs/2605.21381)|null|
|**2026-05-20**|**Let EEG Models Learn EEG**|Yifan Wang et.al.|[2605.21280](http://arxiv.org/abs/2605.21280)|null|
|**2026-05-20**|**Linear-DPO: Linear Direct Preference Optimization for Diffusion and Flow-Matching Generative Models**|Kesong Li et.al.|[2605.21123](http://arxiv.org/abs/2605.21123)|null|
|**2026-05-20**|**PaintCopilot: Modeling Painting as Autonomous Artistic Continuation**|Yunge Wen et.al.|[2605.20941](http://arxiv.org/abs/2605.20941)|null|
|**2026-05-20**|**DUET: Unified Dual-Space Emotion Control for Diffusion and Flow-Matching Driven Text-to-Speech**|Xu Zhang et.al.|[2606.00066](http://arxiv.org/abs/2606.00066)|null|
|**2026-05-20**|**What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing**|Hangyu Lin et.al.|[2605.20795](http://arxiv.org/abs/2605.20795)|null|
|**2026-05-20**|**Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms**|Wanchen Li et.al.|[2605.18360](http://arxiv.org/abs/2605.18360)|null|
|**2026-05-20**|**FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy**|Qian He et.al.|[2605.15944](http://arxiv.org/abs/2605.15944)|null|
|**2026-05-19**|**Latent Process Generator Matching**|Lukas Billera et.al.|[2605.20547](http://arxiv.org/abs/2605.20547)|null|
|**2026-05-19**|**FullFlow: Upgrading Text-to-Image Flow Matching Models for Bidirectional Vision--Language Generation**|Eric Tillmann Bill et.al.|[2605.20316](http://arxiv.org/abs/2605.20316)|null|
|**2026-05-19**|**Tail Annealing for Heavy-Tailed Flow Matching**|Jean Pachebat et.al.|[2605.20068](http://arxiv.org/abs/2605.20068)|null|
|**2026-05-19**|**Beyond Action Residuals: Real-World Robot Policy Steering via Bottleneck Latent Reinforcement Learning**|Dongjie Yu et.al.|[2605.19919](http://arxiv.org/abs/2605.19919)|null|
|**2026-05-19**|**Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives**|Junli Wang et.al.|[2605.19771](http://arxiv.org/abs/2605.19771)|null|
|**2026-05-19**|**Multi-Scale Generative Modeling with Heat Dissipation Flow Matching**|Jun Ma et.al.|[2605.19371](http://arxiv.org/abs/2605.19371)|null|
|**2026-05-19**|**Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery**|Kingsley Yeon et.al.|[2605.21522](http://arxiv.org/abs/2605.21522)|null|
|**2026-05-19**|**Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes**|Tianshu Kuai et.al.|[2605.19305](http://arxiv.org/abs/2605.19305)|null|
|**2026-05-19**|**Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR**|Chongyu Fan et.al.|[2605.19282](http://arxiv.org/abs/2605.19282)|null|
|**2026-05-19**|**Distribution Matching Distillation without Fake Score Network**|Youngjoong Kim et.al.|[2605.19256](http://arxiv.org/abs/2605.19256)|null|
|**2026-05-19**|**PhyWorld: Physics-Faithful World Model for Video Generation**|Pu Zhao et.al.|[2605.19242](http://arxiv.org/abs/2605.19242)|null|
|**2026-05-19**|**Lagrangian Flow Matching: A Least-Action Framework for Principled Path Design**|Shukai Du et.al.|[2605.15419](http://arxiv.org/abs/2605.15419)|null|
|**2026-05-18**|**WavFlow: Audio Generation in Waveform Space**|Feiyan Zhou et.al.|[2605.18749](http://arxiv.org/abs/2605.18749)|null|
|**2026-05-18**|**StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video**|Huajian Zeng et.al.|[2605.18553](http://arxiv.org/abs/2605.18553)|null|
|**2026-05-18**|**Flowing with Confidence**|Friso de Kruiff et.al.|[2605.18472](http://arxiv.org/abs/2605.18472)|null|
|**2026-05-18**|**Generating Physically Consistent Molecules with Energy-Based Models**|Christoph Griesbacher et.al.|[2605.18381](http://arxiv.org/abs/2605.18381)|null|
|**2026-05-18**|**ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization**|Yifei Chen et.al.|[2605.18320](http://arxiv.org/abs/2605.18320)|null|
|**2026-05-17**|**Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models**|Andreas Bergmeister et.al.|[2605.10759](http://arxiv.org/abs/2605.10759)|null|
|**2026-05-17**|**Venom: A PyTorch Generative Modeling Toolkit**|Liang Yan et.al.|[2605.17605](http://arxiv.org/abs/2605.17605)|null|
|**2026-05-17**|**Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling**|Tianyue Yang et.al.|[2605.17546](http://arxiv.org/abs/2605.17546)|null|
|**2026-05-17**|**A flow-matching generative model for event-by-event jet-induced hydro response in high-energy heavy-ion collisions**|Kai-Yi Wu et.al.|[2605.17511](http://arxiv.org/abs/2605.17511)|null|
|**2026-05-17**|**Drift Flow Matching**|Chenrui Ma et.al.|[2605.17244](http://arxiv.org/abs/2605.17244)|null|
|**2026-05-16**|**$h$ -control: Training-Free Camera Control via Block-Conditional Gibbs Refinement**|Yuzhu Wang et.al.|[2605.11871](http://arxiv.org/abs/2605.11871)|null|
|**2026-05-16**|**FactorizedHMR: A Hybrid Framework for Video Human Mesh Recovery**|Patrick Kwon et.al.|[2605.14854](http://arxiv.org/abs/2605.14854)|null|
|**2026-05-16**|**Weighted Flow Matching and Physics-Informed Nonlinear Filtering for Parameter Estimation in Digital Twins**|Yasar Yanik et.al.|[2605.17146](http://arxiv.org/abs/2605.17146)|null|
|**2026-05-16**|**Contrastive Conceptor Activation Steering (COAST): Unlocking Vision-Language-Action Models through Hidden States**|Miranda Muqing Miao et.al.|[2605.17144](http://arxiv.org/abs/2605.17144)|null|
|**2026-05-16**|**Emulating the Forced Response of Climate Models with Flow Matching**|Graham Clyne et.al.|[2605.16929](http://arxiv.org/abs/2605.16929)|null|
|**2026-05-16**|**Learning Unbiased Permutations via Flow Matching**|Yimeng Min et.al.|[2605.16755](http://arxiv.org/abs/2605.16755)|null|
|**2026-05-15**|**Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space**|ZiYi Dong et.al.|[2605.14531](http://arxiv.org/abs/2605.14531)|null|
|**2026-05-15**|**Wavelet Flow Matching for Multi-Scale Physics Emulation**|Gabriele Accarino et.al.|[2605.16573](http://arxiv.org/abs/2605.16573)|null|
|**2026-05-15**|**Multiscale Supervised Unbalanced Optimal Transport Flow Matching**|Qiangwei Peng et.al.|[2605.16529](http://arxiv.org/abs/2605.16529)|null|
|**2026-05-15**|**Real-time Speech Restoration using Data Prediction Mean Flows**|Sebastian Braun et.al.|[2605.16251](http://arxiv.org/abs/2605.16251)|null|
|**2026-05-15**|**Dynamics-Level Watermarking of Flow Matching Models with Random Codes**|Shuchan Wang et.al.|[2605.16239](http://arxiv.org/abs/2605.16239)|null|
|**2026-05-15**|**Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schrödinger Samplers**|Bruno Trentini et.al.|[2605.16126](http://arxiv.org/abs/2605.16126)|null|
|**2026-05-15**|**Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions**|Sipeng Chen et.al.|[2605.16118](http://arxiv.org/abs/2605.16118)|null|
|**2026-05-15**|**Flow Matching with Optimized Subclass Priors for Medical Image Augmentation**|Felix Nützel et.al.|[2605.16469](http://arxiv.org/abs/2605.16469)|null|
|**2026-05-15**|**FLASH: Efficient Visuomotor Policy via Sparse Sampling**|Jiaqi Bai et.al.|[2605.15492](http://arxiv.org/abs/2605.15492)|null|
|**2026-05-14**|**Driving Intents Amplify Planning-Oriented Reinforcement Learning**|Hengtong Lu et.al.|[2605.12625](http://arxiv.org/abs/2605.12625)|null|
|**2026-05-14**|**MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving**|Yuzhou Huang et.al.|[2605.12624](http://arxiv.org/abs/2605.12624)|null|
|**2026-05-14**|**Action Emergence from Streaming Intent**|Pengfei Jing et.al.|[2605.12622](http://arxiv.org/abs/2605.12622)|null|
|**2026-05-14**|**Aligning Latent Geometry for Spherical Flow Matching in Image Generation**|Tuna Han Salih Meral et.al.|[2605.15193](http://arxiv.org/abs/2605.15193)|null|
|**2026-05-14**|**EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration**|Wuyang Li et.al.|[2605.15042](http://arxiv.org/abs/2605.15042)|null|
|**2026-05-14**|**Learning Direct Control Policies with Flow Matching for Autonomous Driving**|Marcello Ceresini et.al.|[2605.14832](http://arxiv.org/abs/2605.14832)|null|
|**2026-05-14**|**The Velocity Deficit: Initial Energy Injection for Flow Matching**|Linze Li et.al.|[2605.14819](http://arxiv.org/abs/2605.14819)|null|
|**2026-05-14**|**EponaV2: Driving World Model with Comprehensive Future Reasoning**|Jiawei Xu et.al.|[2605.14696](http://arxiv.org/abs/2605.14696)|null|
|**2026-05-14**|**KVPO: ODE-Native GRPO for Autoregressive Video Alignment via KV Semantic Exploration**|Ruicheng Zhang et.al.|[2605.14278](http://arxiv.org/abs/2605.14278)|null|
|**2026-05-14**|**Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models**|Po-Chien Luan et.al.|[2605.15424](http://arxiv.org/abs/2605.15424)|null|
|**2026-05-14**|**One Pass Is Not Enough: Recursive Latent Refinement for Generative Models**|Mehdi Esmaeilzadeh et.al.|[2605.15309](http://arxiv.org/abs/2605.15309)|null|
|**2026-05-13**|**ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models**|Zuojin Tang et.al.|[2605.10819](http://arxiv.org/abs/2605.10819)|null|
|**2026-05-13**|**Cross Modality Image Translation In Medical Imaging Using Generative Frameworks**|Giulia Romoli et.al.|[2605.13686](http://arxiv.org/abs/2605.13686)|null|
|**2026-05-13**|**Sampling from Flow Language Models via Marginal-Conditioned Bridges**|Iskander Azangulov et.al.|[2605.13681](http://arxiv.org/abs/2605.13681)|null|
|**2026-05-13**|**Path-independent Flow Matching for Multi-parameter Generative Dynamics**|Francisco Téllez et.al.|[2605.13487](http://arxiv.org/abs/2605.13487)|null|
|**2026-05-13**|**SID: Sliding into Distribution for Robust Few-Demonstration Manipulation**|Yicheng Ma et.al.|[2605.13428](http://arxiv.org/abs/2605.13428)|null|
|**2026-05-13**|**RotVLA: Rotational Latent Action for Vision-Language-Action Model**|Qiwei Li et.al.|[2605.13403](http://arxiv.org/abs/2605.13403)|null|
|**2026-05-13**|**Support-Conditioned Flow Matching Is Kernel Smoothing**|Daniel Matsui Smola et.al.|[2605.13386](http://arxiv.org/abs/2605.13386)|null|
|**2026-05-13**|**GeoFlowVLM: Geometry-Aware Joint Uncertainty for Frozen Vision-Language Embedding**|Mayank Nautiyal et.al.|[2605.13352](http://arxiv.org/abs/2605.13352)|null|
|**2026-05-13**|**Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching**|Ehsan Aghazadeh et.al.|[2605.13063](http://arxiv.org/abs/2605.13063)|null|
|**2026-05-13**|**PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution**|Zihang Xu et.al.|[2605.13027](http://arxiv.org/abs/2605.13027)|null|
|**2026-05-13**|**SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration**|Mingda Zhang et.al.|[2605.14089](http://arxiv.org/abs/2605.14089)|null|
|**2026-05-13**|**Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering**|Atharva Mahajan et.al.|[2605.14022](http://arxiv.org/abs/2605.14022)|null|
|**2026-05-13**|**WarmPrior: Straightening Flow-Matching Policies with Temporal Priors**|Sinjae Kang et.al.|[2605.13959](http://arxiv.org/abs/2605.13959)|null|
|**2026-05-13**|**SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing**|Marten J. Finck et.al.|[2605.17620](http://arxiv.org/abs/2605.17620)|null|
|**2026-05-12**|**Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs**|Jianchao Zhao et.al.|[2605.10094](http://arxiv.org/abs/2605.10094)|null|
|**2026-05-12**|**Aligning Flow Map Policies with Optimal Q-Guidance**|Christos Ziakas et.al.|[2605.12416](http://arxiv.org/abs/2605.12416)|null|
|**2026-05-12**|**Discrete Flow Matching for Offline-to-Online Reinforcement Learning**|Fairoz Nower Khan et.al.|[2605.12379](http://arxiv.org/abs/2605.12379)|null|
|**2026-05-12**|**Poly-SVC: Polyphony-Aware Singing Voice Conversion with Harmonic Modeling**|Chen Geng et.al.|[2605.12310](http://arxiv.org/abs/2605.12310)|null|
|**2026-05-12**|**Morphologically Equivariant Flow Matching for Bimanual Mobile Manipulation**|Max Siebenborn et.al.|[2605.12228](http://arxiv.org/abs/2605.12228)|null|
|**2026-05-12**|**Expected Batch Optimal Transport Plans and Consequences for Flow Matching**|Samuel Boïté et.al.|[2605.12174](http://arxiv.org/abs/2605.12174)|null|
|**2026-05-12**|**When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy**|Xiaofeng Tan et.al.|[2605.12112](http://arxiv.org/abs/2605.12112)|null|
|**2026-05-12**|**The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragments**|Ofir Itzhak Shahar et.al.|[2605.12077](http://arxiv.org/abs/2605.12077)|null|
|**2026-05-12**|**CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation**|Zhengkun Huang et.al.|[2605.12011](http://arxiv.org/abs/2605.12011)|null|
|**2026-05-12**|**Generative Transfer for Entropic Optimal Transport with Unknown Costs**|Antoine Debouchage et.al.|[2605.11944](http://arxiv.org/abs/2605.11944)|null|
|**2026-05-12**|**Is Monotonic Sampling Necessary in Diffusion Models?**|Muhammad Haris Khan et.al.|[2605.11773](http://arxiv.org/abs/2605.11773)|null|
|**2026-05-12**|**RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction**|Yaxuan Song et.al.|[2605.11622](http://arxiv.org/abs/2605.11622)|null|
|**2026-05-12**|**Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching**|Aditi Gupta et.al.|[2605.11547](http://arxiv.org/abs/2605.11547)|null|
|**2026-05-12**|**Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels**|Fairoz Nower Khan et.al.|[2605.12805](http://arxiv.org/abs/2605.12805)|null|
|**2026-05-12**|**Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling**|Jacob K. Christopher et.al.|[2605.12754](http://arxiv.org/abs/2605.12754)|null|
|**2026-05-12**|**scShapeBench: Discovering geometry from high dimensional scRNAseq data**|Andrew J Steindl et.al.|[2605.12662](http://arxiv.org/abs/2605.12662)|null|
|**2026-05-11**|**ELF: Embedded Language Flows**|Keya Hu et.al.|[2605.10938](http://arxiv.org/abs/2605.10938)|null|
|**2026-05-11**|**Unified Noise Steering for Efficient Human-Guided VLA Adaptation**|Junjie Lu et.al.|[2605.10821](http://arxiv.org/abs/2605.10821)|null|
|**2026-05-11**|**SF-Flow: Sound field magnitude estimation via flow matching guided by sparse measurements**|Ege Erdem et.al.|[2605.10398](http://arxiv.org/abs/2605.10398)|null|
|**2026-05-11**|**Data-Asymmetric Latent Imagination and Reranking for 3D Robotic Imitation Learning**|Lianghao Luo et.al.|[2605.10166](http://arxiv.org/abs/2605.10166)|null|
|**2026-05-11**|**Generating Symmetric Materials using Latent Flow Matching**|Anmar Karmush et.al.|[2605.10115](http://arxiv.org/abs/2605.10115)|null|
|**2026-05-11**|**PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows**|Yufeng Zhu et.al.|[2605.10046](http://arxiv.org/abs/2605.10046)|null|
|**2026-05-11**|**Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation**|Nabin Giri et.al.|[2605.09981](http://arxiv.org/abs/2605.09981)|null|
|**2026-05-11**|**Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions**|Tsuyoshi Okita et.al.|[2605.09870](http://arxiv.org/abs/2605.09870)|null|
|**2026-05-11**|**Operator Spectroscopy of Trained Lattice Samplers**|Moxian Qian et.al.|[2605.11199](http://arxiv.org/abs/2605.11199)|null|
|**2026-05-11**|**ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching**|Shuoheng Zhang et.al.|[2605.11048](http://arxiv.org/abs/2605.11048)|null|
|**2026-05-10**|**Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech**|Dong Yang et.al.|[2605.09386](http://arxiv.org/abs/2605.09386)|null|
|**2026-05-10**|**On Variance Reduction in Learning Mean Flows**|Juanwu Lu et.al.|[2605.09235](http://arxiv.org/abs/2605.09235)|null|
|**2026-05-09**|**Continuum Robot Modeling with Action Conditioned Flow Matching**|Jiong Lin et.al.|[2605.09216](http://arxiv.org/abs/2605.09216)|null|
|**2026-05-09**|**Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations**|Sascha Holl et.al.|[2605.08976](http://arxiv.org/abs/2605.08976)|null|
|**2026-05-09**|**Discrete Flow Matching: Convergence Guarantees Under Minimal Assumptions**|Le-Tuyet-Nhi Pham et.al.|[2605.08882](http://arxiv.org/abs/2605.08882)|null|
|**2026-05-09**|**Preserving Foundational Capabilities in Flow-Matching VLAs through Conservative SFT**|Tianyi Zhang et.al.|[2605.08879](http://arxiv.org/abs/2605.08879)|null|
|**2026-05-09**|**Restoration-Aligned Generative Flow Models for Blind Motion Deblurring**|Insoo Kim et.al.|[2605.08854](http://arxiv.org/abs/2605.08854)|null|
|**2026-05-09**|**Inpainting physics: self-supervised learning for context-driven fluid simulation**|Jonas Weidner et.al.|[2605.08832](http://arxiv.org/abs/2605.08832)|null|
|**2026-05-08**|**Normalizing Trajectory Models**|Jiatao Gu et.al.|[2605.08078](http://arxiv.org/abs/2605.08078)|null|
|**2026-05-08**|**Flow-OPD: On-Policy Distillation for Flow Matching Models**|Zhen Fang et.al.|[2605.08063](http://arxiv.org/abs/2605.08063)|null|
|**2026-05-08**|**One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy**|Zuojin Tang et.al.|[2605.07931](http://arxiv.org/abs/2605.07931)|null|
|**2026-05-08**|**Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation**|Amin Karimi Monsefi et.al.|[2605.07924](http://arxiv.org/abs/2605.07924)|null|
|**2026-05-08**|**Scaling Categorical Flow Maps**|Oscar Davis et.al.|[2605.07820](http://arxiv.org/abs/2605.07820)|null|
|**2026-05-08**|**TextLDM: Language Modeling with Continuous Latent Diffusion**|Jiaxiu Jiang et.al.|[2605.07748](http://arxiv.org/abs/2605.07748)|null|
|**2026-05-08**|**Flow Matching for Count Data**|Ganchao Wei et.al.|[2605.07746](http://arxiv.org/abs/2605.07746)|null|
|**2026-05-08**|**Structured Coupling for Flow Matching**|Xavier Sumba et.al.|[2605.07676](http://arxiv.org/abs/2605.07676)|null|
|**2026-05-08**|**Debiased Counterfactual Generation via Flow Matching from Observations**|Hugh Dance et.al.|[2605.07665](http://arxiv.org/abs/2605.07665)|null|
|**2026-05-08**|**Tessellations of Semi-Discrete Flow Matching**|Emile Pierret et.al.|[2605.07513](http://arxiv.org/abs/2605.07513)|null|
|**2026-05-08**|**Physical Simulators as Do-Operators: Causal Discovery under Latent Confounders for AI-for-Science**|Tsuyoshi Okita et.al.|[2605.07467](http://arxiv.org/abs/2605.07467)|null|
|**2026-05-08**|**Tools as Continuous Flow for Evolving Agentic Reasoning**|Tairan Huang et.al.|[2605.07339](http://arxiv.org/abs/2605.07339)|null|
|**2026-05-08**|**Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations**|Yuan Zhang et.al.|[2605.07327](http://arxiv.org/abs/2605.07327)|null|
|**2026-05-08**|**TRACE: Transport Alignment Conformal Prediction via Diffusion and Flow Matching Models**|Zhenhan Fang et.al.|[2605.07100](http://arxiv.org/abs/2605.07100)|null|
|**2026-05-08**|**Learning Visual Feature-Based World Models via Residual Latent Action**|Xinyu Zhang et.al.|[2605.07079](http://arxiv.org/abs/2605.07079)|null|
|**2026-05-07**|**BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation**|Richard Hildebrandt et.al.|[2605.06591](http://arxiv.org/abs/2605.06591)|null|
|**2026-05-07**|**Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance**|Gal Vinograd et.al.|[2605.06553](http://arxiv.org/abs/2605.06553)|null|
|**2026-05-07**|**OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation**|Yushan Liu et.al.|[2605.06481](http://arxiv.org/abs/2605.06481)|null|
|**2026-05-07**|**FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation**|Mingfeng Lin et.al.|[2605.06421](http://arxiv.org/abs/2605.06421)|null|
|**2026-05-07**|**Flow Matching with Arbitrary Auxiliary Paths**|Xin Peng et.al.|[2605.06364](http://arxiv.org/abs/2605.06364)|null|
|**2026-05-07**|**A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions**|Tyler Ingebrand et.al.|[2605.06272](http://arxiv.org/abs/2605.06272)|null|
|**2026-05-07**|**Entropy-Regularized Adjoint Matching for Offline RL**|Abdelghani Ghanem et.al.|[2605.06156](http://arxiv.org/abs/2605.06156)|null|
|**2026-05-07**|**SymDrift: One-Shot Generative Modeling under Symmetries**|Samir Darouich et.al.|[2605.06140](http://arxiv.org/abs/2605.06140)|null|
|**2026-05-07**|**P-Guide: Parameter-Efficient Prior Steering for Single-Pass CFG Inference**|Xin Peng et.al.|[2605.06124](http://arxiv.org/abs/2605.06124)|null|
|**2026-05-07**|**Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems**|Sicheng Ma et.al.|[2605.05975](http://arxiv.org/abs/2605.05975)|null|
|**2026-05-07**|**RepFlow: Representation Enhanced Flow Matching for Causal Effect Estimation**|Yifei Xie et.al.|[2605.05890](http://arxiv.org/abs/2605.05890)|null|
|**2026-05-07**|**SDFlow: Similarity-Driven Flow Matching for Time Series Generation**|Wei Li et.al.|[2605.05736](http://arxiv.org/abs/2605.05736)|null|
|**2026-05-07**|**X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning**|Rixi Xu et.al.|[2605.05611](http://arxiv.org/abs/2605.05611)|null|
|**2026-05-07**|**Physics-Based Flow Matching for Full-Field Prediction of Silicon Photonic Devices**|Joseph Quaratiello et.al.|[2605.06929](http://arxiv.org/abs/2605.06929)|null|
|**2026-05-07**|**Not All Tokens Need 40 Steps: Heterogeneous Step Allocation in Diffusion Transformers for Efficient Video Generation**|Ernie Chu et.al.|[2605.06892](http://arxiv.org/abs/2605.06892)|null|
|**2026-05-07**|**Christoffel-DPS: Optimal sensor placement in diffusion posterior sampling for arbitrary distributions**|James Rowbottom et.al.|[2605.06861](http://arxiv.org/abs/2605.06861)|null|
|**2026-05-07**|**A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models**|Aditya Ranganath et.al.|[2605.06829](http://arxiv.org/abs/2605.06829)|null|
|**2026-05-06**|**FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution**|Shuhong Liu et.al.|[2605.03749](http://arxiv.org/abs/2605.03749)|null|
|**2026-05-06**|**FlowDIS: Language-Guided Dichotomous Image Segmentation with Flow Matching**|Andranik Sargsyan et.al.|[2605.05077](http://arxiv.org/abs/2605.05077)|null|
|**2026-05-06**|**Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation**|Hongxu Chen et.al.|[2605.05054](http://arxiv.org/abs/2605.05054)|null|
|**2026-05-06**|**Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation**|Zimu Gong et.al.|[2605.04366](http://arxiv.org/abs/2605.04366)|null|
|**2026-05-06**|**ViTok-v2: Scaling Native Resolution Auto-Encoders to 5 Billion Parameters**|Philippe Hansen-Estruch et.al.|[2605.05331](http://arxiv.org/abs/2605.05331)|null|
|**2026-05-05**|**Flow Sampling: Learning to Sample from Unnormalized Densities via Denoising Conditional Processes**|Aaron Havens et.al.|[2605.03984](http://arxiv.org/abs/2605.03984)|null|
|**2026-05-05**|**Flow Matching on Symmetric Spaces**|Francesco Ruscelli et.al.|[2605.03588](http://arxiv.org/abs/2605.03588)|null|
|**2026-05-04**|**MolmoAct2: Action Reasoning Models for Real-world Deployment**|Haoquan Fang et.al.|[2605.02881](http://arxiv.org/abs/2605.02881)|null|
|**2026-05-04**|**Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection**|Fuyun Wang et.al.|[2605.02438](http://arxiv.org/abs/2605.02438)|null|
|**2026-05-04**|**DriftDecode: One-Step Wireless Image Decoding via Drifting-Inspired Detail Recovery**|Jingwen Fu et.al.|[2605.02325](http://arxiv.org/abs/2605.02325)|null|
|**2026-05-04**|**Generative Modeling with Orbit-Space Particle Flow Matching**|Sinan Wang et.al.|[2605.02222](http://arxiv.org/abs/2605.02222)|null|
|**2026-05-03**|**Cardiac Mesh Flow: One-Step Generation of 3D+t Cardiac Four-Chamber Meshes via Flow Matching**|Qiang Ma et.al.|[2605.01884](http://arxiv.org/abs/2605.01884)|null|
|**2026-05-02**|**SixthSense: Task-Agnostic Proprioception-Only Whole-Body Wrench Estimation for Humanoids**|Xingzhou Chen et.al.|[2605.01427](http://arxiv.org/abs/2605.01427)|null|
|**2026-05-02**|**Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events**|Keyan Chen et.al.|[2605.01226](http://arxiv.org/abs/2605.01226)|null|
|**2026-05-02**|**TAIL-Safe: Task-Agnostic Safety Monitoring for Imitation Learning Policies**|Riad Ahmed et.al.|[2605.01195](http://arxiv.org/abs/2605.01195)|null|
|**2026-05-01**|**GSDrive: Reinforcing Driving Policies by Multi-mode Trajectory Probing with 3D Gaussian Splatting Environment**|Ziang Guo et.al.|[2604.28111](http://arxiv.org/abs/2604.28111)|null|
|**2026-05-01**|**Posterior Augmented Flow Matching**|George Stoica et.al.|[2605.00825](http://arxiv.org/abs/2605.00825)|null|
|**2026-05-01**|**Soft Graph Diffusion Transformer for MIMO Detection**|Nan Jiang et.al.|[2605.00449](http://arxiv.org/abs/2605.00449)|null|
|**2026-05-01**|**Divergence is Uncertainty: A Closed-Form Posterior Covariance for Flow Matching**|Jiarui Xing et.al.|[2605.00941](http://arxiv.org/abs/2605.00941)|null|
|**2026-05-01**|**Flow matching for Sentinel-2 super-resolution: implementation, application, and implications**|Dakota Hester et.al.|[2605.00367](http://arxiv.org/abs/2605.00367)|null|
|**2026-05-01**|**Binomial flows: Denoising and flow matching for discrete ordinal data**|Yair Shenfeld et.al.|[2605.00360](http://arxiv.org/abs/2605.00360)|null|
|**2026-05-01**|**Free Energy Surface Sampling via Reduced Flow Matching**|Zichen Liu et.al.|[2605.00337](http://arxiv.org/abs/2605.00337)|null|
|**2026-04-30**|**Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling**|Keming Wu et.al.|[2604.28185](http://arxiv.org/abs/2604.28185)|null|
|**2026-04-30**|**Alethia: A Foundational Encoder for Voice Deepfakes**|Yi Zhu et.al.|[2605.00251](http://arxiv.org/abs/2605.00251)|null|
|**2026-04-30**|**SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting**|Arnaud Zinflou et.al.|[2605.00126](http://arxiv.org/abs/2605.00126)|null|
|**2026-04-30**|**StyleShield: Exposing the Fragility of AIGC Detectors through Continuous Controllable Style Transfer**|Guantian Zheng et.al.|[2605.00924](http://arxiv.org/abs/2605.00924)|null|
|**2026-04-28**|**PhyloSDF: Phylogenetically-Conditioned Neural Generation of 3D Skull Morphology via Residual Flow Matching**|Kaikwan Lau et.al.|[2604.25371](http://arxiv.org/abs/2604.25371)|null|
|**2026-04-28**|**Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds**|Liuzhuozheng Li et.al.|[2604.25289](http://arxiv.org/abs/2604.25289)|null|
|**2026-04-28**|**Conditional Flow Matching for Probabilistic Downscaling of Maximum 3-day Snowfall in Alaska**|Douglas Brinkerhoff et.al.|[2604.25172](http://arxiv.org/abs/2604.25172)|null|
|**2026-04-28**|**FlowS: One-Step Motion Prediction via Local Transport Conditioning**|Leandro Di Bella et.al.|[2604.26065](http://arxiv.org/abs/2604.26065)|null|
|**2026-04-27**|**Learning biophysical models of gene regulation with probability flow matching**|Suryanarayana Maddu et.al.|[2604.25062](http://arxiv.org/abs/2604.25062)|null|
|**2026-04-27**|**DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors**|Pengcheng Wang et.al.|[2604.25050](http://arxiv.org/abs/2604.25050)|null|
|**2026-04-26**|**FlowPlace: Flow Matching for Chip Placement**|Peng Xie et.al.|[2604.23658](http://arxiv.org/abs/2604.23658)|null|
|**2026-04-25**|**GeoFunFlow-3D: A Physics-Guided Generative Flow Matching Framework for High-Fidelity 3D Aerodynamic Inference over Complex Geometries**|Ruiling Jiang et.al.|[2604.23350](http://arxiv.org/abs/2604.23350)|null|
|**2026-04-25**|**MotionHiFlow: Text-to-motion via hierarchical flow matching**|Heng Li et.al.|[2604.23264](http://arxiv.org/abs/2604.23264)|null|
|**2026-04-24**|**Deep Learning for Model Calibration in Simulation of Itaconic Acid Production**|Daria Fokina et.al.|[2604.22496](http://arxiv.org/abs/2604.22496)|null|
|**2026-04-24**|**PoseFM: Relative Camera Pose Estimation Through Flow Matching**|Dominik Kuczkowski et.al.|[2604.22350](http://arxiv.org/abs/2604.22350)|null|
|**2026-04-24**|**UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions**|Chunyu Qiang et.al.|[2604.22209](http://arxiv.org/abs/2604.22209)|null|
|**2026-04-23**|**ATRIE: Adaptive Tuning for Robust Inference and Emotion in Persona-Driven Speech Synthesis**|Aoduo Li et.al.|[2604.19055](http://arxiv.org/abs/2604.19055)|null|
|**2026-04-23**|**StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition**|Kwan Yun et.al.|[2604.21689](http://arxiv.org/abs/2604.21689)|null|
|**2026-04-23**|**CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors**|Dachong Li et.al.|[2604.21241](http://arxiv.org/abs/2604.21241)|null|
|**2026-04-23**|**Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems**|Junjie Zhao et.al.|[2604.22005](http://arxiv.org/abs/2604.22005)|null|
|**2026-04-22**|**Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation**|Jiahao Xu et.al.|[2604.20336](http://arxiv.org/abs/2604.20336)|null|
|**2026-04-22**|**Semi-Supervised Flow Matching for Mosaiced and Panchromatic Fusion Imaging**|Peiming Luo et.al.|[2604.20128](http://arxiv.org/abs/2604.20128)|null|
|**2026-04-22**|**ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control**|Shelly Golan et.al.|[2604.20816](http://arxiv.org/abs/2604.20816)|null|
|**2026-04-22**|**Tokenised Flow Matching for Hierarchical Simulation Based Inference**|Giovanni Charles et.al.|[2604.20723](http://arxiv.org/abs/2604.20723)|null|
|**2026-04-22**|**WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis**|Yalcin Tur et.al.|[2604.21146](http://arxiv.org/abs/2604.21146)|null|
|**2026-04-22**|**Linear Image Generation by Synthesizing Exposure Brackets**|Yuekun Dai et.al.|[2604.21008](http://arxiv.org/abs/2604.21008)|null|
|**2026-04-21**|**The Amazing Stability of Flow Matching**|Rania Briq et.al.|[2604.16079](http://arxiv.org/abs/2604.16079)|null|
|**2026-04-21**|**Generative Drifting for Conditional Medical Image Generation**|Zirong Li et.al.|[2604.19736](http://arxiv.org/abs/2604.19736)|null|
|**2026-04-21**|**SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model**|Zewei Zhou et.al.|[2604.19710](http://arxiv.org/abs/2604.19710)|null|
|**2026-04-21**|**MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention**|Zhi Chen et.al.|[2604.19675](http://arxiv.org/abs/2604.19675)|null|
|**2026-04-21**|**Frequency-Forcing: From Scaling-as-Time to Soft Frequency Guidance**|Weitao Du et.al.|[2604.20902](http://arxiv.org/abs/2604.20902)|null|
|**2026-04-20**|**Attraction, Repulsion, and Friction: Introducing DMF, a Friction-Augmented Drifting Model**|Arkadii Kazanskii et.al.|[2604.18194](http://arxiv.org/abs/2604.18194)|null|
|**2026-04-20**|**Complex normalizing flows can be information Kähler-Ricci flows**|Andrew Gracyk et.al.|[2604.17954](http://arxiv.org/abs/2604.17954)|null|
|**2026-04-20**|**Fisher Decorator: Refining Flow Policy via A Local Transport Map**|Xiaoyuan Cheng et.al.|[2604.17919](http://arxiv.org/abs/2604.17919)|null|
|**2026-04-20**|**OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation**|Kuanning Wang et.al.|[2604.17876](http://arxiv.org/abs/2604.17876)|null|
|**2026-04-20**|**OmniVLA-RL: A Vision-Language-Action Model with Spatial Understanding and Online RL**|Haoxiang Jie et.al.|[2604.17706](http://arxiv.org/abs/2604.17706)|null|
|**2026-04-20**|**Grokking of Diffusion Models: Case Study on Modular Addition**|Joon Hyeok Kim et.al.|[2604.17673](http://arxiv.org/abs/2604.17673)|null|
|**2026-04-18**|**FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation**|Yilong Dai et.al.|[2604.17149](http://arxiv.org/abs/2604.17149)|null|
|**2026-04-18**|**Anonymization, Not Elimination: Utility-Preserved Speech Anonymization**|Yunchong Xiao et.al.|[2604.17000](http://arxiv.org/abs/2604.17000)|null|
|**2026-04-18**|**CrossFlowDG: Bridging the Modality Gap with Cross-modal Flow Matching for Domain Generalization**|Antonios Kritikos et.al.|[2604.16892](http://arxiv.org/abs/2604.16892)|null|
|**2026-04-18**|**SAVE: A Generalizable Framework for Multi-Condition Single-Cell Generation with Gene Block Attention**|Jiahao Li et.al.|[2604.16776](http://arxiv.org/abs/2604.16776)|null|
|**2026-04-18**|**Can We Build Scene Graphs, Not Classify Them? FlowSG: Progressive Image-Conditioned Scene Graph Generation with Flow Matching**|Xin Hu et.al.|[2604.18623](http://arxiv.org/abs/2604.18623)|null|
|**2026-04-17**|**AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning**|Guransh Singh et.al.|[2604.16067](http://arxiv.org/abs/2604.16067)|null|
|**2026-04-17**|**Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning**|Gehan Zheng et.al.|[2604.16683](http://arxiv.org/abs/2604.16683)|null|
|**2026-04-16**|**Amortized Optimal Transport from Sliced Potentials**|Minh-Phuc Truong et.al.|[2604.15114](http://arxiv.org/abs/2604.15114)|null|
|**2026-04-16**|**Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching**|Aihua Li et.al.|[2604.15009](http://arxiv.org/abs/2604.15009)|null|
|**2026-04-16**|**Generative Modeling of Complex-Valued Brain MRI Data**|Marco Schlimbach et.al.|[2604.14800](http://arxiv.org/abs/2604.14800)|null|
|**2026-04-16**|**LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories**|Zhanhao Liang et.al.|[2604.15311](http://arxiv.org/abs/2604.15311)|null|
|**2026-04-16**|**Frequency-Aware Flow Matching for High-Quality Image Generation**|Sucheng Ren et.al.|[2604.15521](http://arxiv.org/abs/2604.15521)|null|
|**2026-04-16**|**RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference**|Yuxin Liu et.al.|[2604.15459](http://arxiv.org/abs/2604.15459)|null|
|**2026-04-15**|**LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling**|Yuxin Chen et.al.|[2604.11748](http://arxiv.org/abs/2604.11748)|null|
|**2026-04-15**|**PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling**|Zichao Yan et.al.|[2604.13986](http://arxiv.org/abs/2604.13986)|null|
|**2026-04-15**|**EMGFlow: Robust and Efficient Surface Electromyography Synthesis via Flow Matching**|Boxuan Jiang et.al.|[2604.13685](http://arxiv.org/abs/2604.13685)|null|
|**2026-04-15**|**A Unified Conditional Flow for Motion Generation, Editing, and Intra-Structural Retargeting**|Junlin Li et.al.|[2604.13427](http://arxiv.org/abs/2604.13427)|null|
|**2026-04-15**|**PianoFlow: Music-Aware Streaming Piano Motion Generation with Bimanual Coordination**|Xuan Wang et.al.|[2604.12856](http://arxiv.org/abs/2604.12856)|null|
|**2026-04-15**|**HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System**|Tianshuo Yang et.al.|[2604.14125](http://arxiv.org/abs/2604.14125)|null|
|**2026-04-14**|**CoSyncDiT: Cognitive Synchronous Diffusion Transformer for Movie Dubbing**|Gaoxiang Cong et.al.|[2604.12292](http://arxiv.org/abs/2604.12292)|null|
|**2026-04-14**|**SubFlow: Sub-mode Conditioned Flow Matching for Diverse One-Step Generation**|Yexiong Lin et.al.|[2604.12273](http://arxiv.org/abs/2604.12273)|null|
|**2026-04-14**|**SeisDiff-intp: a unified prompt-guided flow matching framework for multi-tasks seismic interpretation**|Donglin Zhu et.al.|[2604.12209](http://arxiv.org/abs/2604.12209)|null|
|**2026-04-13**|**Physics-guided surrogate learning enables zero-shot control of turbulent wings**|Yuning Wang et.al.|[2604.09434](http://arxiv.org/abs/2604.09434)|null|
|**2026-04-13**|**Learning Long-term Motion Embeddings for Efficient Kinematics Generation**|Nick Stracke et.al.|[2604.11737](http://arxiv.org/abs/2604.11737)|null|
|**2026-04-13**|**Continuous Adversarial Flow Models**|Shanchuan Lin et.al.|[2604.11521](http://arxiv.org/abs/2604.11521)|null|
|**2026-04-13**|**One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions**|Mario Lino et.al.|[2604.11403](http://arxiv.org/abs/2604.11403)|null|
|**2026-04-13**|**Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching**|Nicole Rogalla et.al.|[2604.11178](http://arxiv.org/abs/2604.11178)|null|
|**2026-04-13**|**Tracking High-order Evolutions via Cascading Low-rank Fitting**|Zhao Song et.al.|[2604.10980](http://arxiv.org/abs/2604.10980)|null|
|**2026-04-13**|**ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching**|Xiaotian Qiu et.al.|[2604.10962](http://arxiv.org/abs/2604.10962)|null|
|**2026-04-12**|**Rethinking the Diffusion Model from a Langevin Perspective**|Candi Zheng et.al.|[2604.10465](http://arxiv.org/abs/2604.10465)|null|
|**2026-04-12**|**HO-Flow: Generalizable Hand-Object Interaction Generation with Latent Flow Matching**|Zerui Chen et.al.|[2604.10836](http://arxiv.org/abs/2604.10836)|null|
|**2026-04-11**|**Closed-Form Concept Erasure via Double Projections**|Chi Zhang et.al.|[2604.10032](http://arxiv.org/abs/2604.10032)|null|
|**2026-04-10**|**VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis**|Xiaolei Lang et.al.|[2604.09330](http://arxiv.org/abs/2604.09330)|null|
|**2026-04-10**|**Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models**|Wongi Jeong et.al.|[2604.09227](http://arxiv.org/abs/2604.09227)|null|
|**2026-04-10**|**LatentFlowSR: High-Fidelity Audio Super-Resolution via Noise-Robust Latent Flow Matching**|Fei Liu et.al.|[2604.09188](http://arxiv.org/abs/2604.09188)|null|
|**2026-04-10**|**Truncated Rectified Flow Policy for Reinforcement Learning with One-Step Sampling**|Xubin Zhou et.al.|[2604.09159](http://arxiv.org/abs/2604.09159)|null|
|**2026-04-10**|**Physically Grounded 3D Generative Reconstruction under Hand Occlusion using Proprioception and Multi-Contact Touch**|Gabriele Mario Caddeo et.al.|[2604.09100](http://arxiv.org/abs/2604.09100)|null|
|**2026-04-10**|**Tora3: Trajectory-Guided Audio-Video Generation with Physical Coherence**|Junchao Liao et.al.|[2604.09057](http://arxiv.org/abs/2604.09057)|null|
|**2026-04-10**|**NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity**|Weijian Mai et.al.|[2604.09817](http://arxiv.org/abs/2604.09817)|null|
|**2026-04-09**|**Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation**|Rongjian Xu et.al.|[2604.08189](http://arxiv.org/abs/2604.08189)|null|
|**2026-04-09**|**FlowEqProp: Training Flow Matching Generative Models with Gradient Equilibrium Propagation**|Alex Gower et.al.|[2604.08150](http://arxiv.org/abs/2604.08150)|null|
|**2026-04-09**|**Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator**|Luozheng Qin et.al.|[2604.08121](http://arxiv.org/abs/2604.08121)|null|
|**2026-04-09**|**HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation**|Shuanghao Bai et.al.|[2604.07993](http://arxiv.org/abs/2604.07993)|null|
|**2026-04-09**|**RewardFlow: Generate Images by Optimizing What You Reward**|Onkar Susladkar et.al.|[2604.08536](http://arxiv.org/abs/2604.08536)|null|
|**2026-04-09**|**AniGen: Unified $S^3$ Fields for Animatable 3D Asset Generation**|Yi-Hua Huang et.al.|[2604.08746](http://arxiv.org/abs/2604.08746)|null|
|**2026-04-08**|**A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model**|Kaidong Zhang et.al.|[2604.05672](http://arxiv.org/abs/2604.05672)|null|
|**2026-04-08**|**Flow Motion Policy: Manipulator Motion Planning with Flow Matching Models**|Davood Soleymanzadeh et.al.|[2604.07084](http://arxiv.org/abs/2604.07084)|null|
|**2026-04-08**|**FlowInOne:Unifying Multimodal Generation as Image-in, Image-out Flow Matching**|Junchao Yi et.al.|[2604.06757](http://arxiv.org/abs/2604.06757)|null|
|**2026-04-07**|**Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space**|Li Kunpeng et.al.|[2604.05700](http://arxiv.org/abs/2604.05700)|null|
|**2026-04-07**|**Rectified Schrödinger Bridge Matching for Few-Step Visual Navigation**|Wuyang Luan et.al.|[2604.05673](http://arxiv.org/abs/2604.05673)|null|
|**2026-04-07**|**SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation**|Wuyang Luan et.al.|[2604.05656](http://arxiv.org/abs/2604.05656)|null|
|**2026-04-07**|**Unifying VLM-Guided Flow Matching and Spectral Anomaly Detection for Interpretable Veterinary Diagnosis**|Pu Wang et.al.|[2604.05482](http://arxiv.org/abs/2604.05482)|null|
|**2026-04-07**|**Discrete Flow Matching Policy Optimization**|Maojiang Su et.al.|[2604.06491](http://arxiv.org/abs/2604.06491)|null|
|**2026-04-07**|**ODE-free Neural Flow Matching for One-Step Generative Modeling**|Xiao Shou et.al.|[2604.06413](http://arxiv.org/abs/2604.06413)|null|
|**2026-04-07**|**Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities**|Arthur Stéphanovitch et.al.|[2604.06065](http://arxiv.org/abs/2604.06065)|null|
|**2026-04-06**|**Free-Range Gaussians: Non-Grid-Aligned Generative 3D Gaussian Reconstruction**|Ahan Shabanov et.al.|[2604.04874](http://arxiv.org/abs/2604.04874)|null|
|**2026-04-06**|**Training-Free Refinement of Flow Matching with Divergence-based Sampling**|Yeonwoo Cha et.al.|[2604.04646](http://arxiv.org/abs/2604.04646)|null|
|**2026-04-06**|**Isokinetic Flow Matching for Pathwise Straightening of Generative Flows**|Tauhid Khan et.al.|[2604.04491](http://arxiv.org/abs/2604.04491)|null|
|**2026-04-06**|**Generative modeling of granular flow on inclined planes using conditional flow matching**|Xuyang Li et.al.|[2604.04453](http://arxiv.org/abs/2604.04453)|null|
|**2026-04-06**|**OmniSonic: Towards Universal and Holistic Audio Generation from Video and Text**|Weiguo Pian et.al.|[2604.04348](http://arxiv.org/abs/2604.04348)|null|
|**2026-04-06**|**Vintix II: Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner**|Andrei Polubarov et.al.|[2604.05112](http://arxiv.org/abs/2604.05112)|null|
|**2026-04-05**|**OP-GRPO: Efficient Off-Policy GRPO for Flow-Matching Models**|Liyu Zhang et.al.|[2604.04142](http://arxiv.org/abs/2604.04142)|null|
|**2026-04-05**|**TORA: Topological Representation Alignment for 3D Shape Assembly**|Nahyuk Lee et.al.|[2604.04050](http://arxiv.org/abs/2604.04050)|null|
|**2026-04-05**|**Correcting Source Mismatch in Flow Matching with Radial-Angular Transport**|Fouad Oubari et.al.|[2604.04291](http://arxiv.org/abs/2604.04291)|null|
|**2026-04-03**|**A Flow Matching Framework for Soft-Robot Inverse Dynamics**|Hang Yang et.al.|[2604.03006](http://arxiv.org/abs/2604.03006)|null|
|**2026-04-03**|**Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation**|Jie Yang et.al.|[2604.02868](http://arxiv.org/abs/2604.02868)|null|
|**2026-04-03**|**OMNI-PoseX: A Fast Vision Model for 6D Object Pose Estimation in Embodied Tasks**|Michael Zhang et.al.|[2604.02759](http://arxiv.org/abs/2604.02759)|null|
|**2026-04-03**|**Monte Carlo Event Generation with Continuous Normalizing Flows**|Enrico Bothmann et.al.|[2604.03511](http://arxiv.org/abs/2604.03511)|null|
|**2026-04-03**|**Physics-Constrained Adaptive Flow Matching for Climate Downscaling**|Kevin Debeire et.al.|[2604.03459](http://arxiv.org/abs/2604.03459)|null|
|**2026-04-03**|**Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields**|Julie Keisler et.al.|[2604.03341](http://arxiv.org/abs/2604.03341)|null|
|**2026-04-03**|**FluxMC: Rapid and High-Fidelity Inference for Space-Based Gravitational-Wave Observations**|Bo Liang et.al.|[2604.04957](http://arxiv.org/abs/2604.04957)|null|
|**2026-04-02**|**ReFlow: Self-correction Motion Learning for Dynamic Scene Reconstruction**|Yanzhe Liang et.al.|[2604.01561](http://arxiv.org/abs/2604.01561)|null|
|**2026-04-02**|**Modular Energy Steering for Safe Text-to-Image Generation with Foundation Models**|Yaoteng Tan et.al.|[2604.02265](http://arxiv.org/abs/2604.02265)|null|
|**2026-04-02**|**UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models**|Qiyao Zhang et.al.|[2604.02241](http://arxiv.org/abs/2604.02241)|null|
|**2026-04-02**|**Generative models on phase space**|Zachary Bogorad et.al.|[2604.02415](http://arxiv.org/abs/2604.02415)|null|
|**2026-04-02**|**Beyond Fixed Inference: Quantitative Flow Matching for Adaptive Image Denoising**|Jigang Duan et.al.|[2604.02392](http://arxiv.org/abs/2604.02392)|null|
|**2026-04-01**|**ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning**|Tushar Dhananjay Pathak et.al.|[2603.29068](http://arxiv.org/abs/2603.29068)|null|
|**2026-04-01**|**Maximizing T2-Only Prostate Cancer Localization from Expected Diffusion Weighted Imaging**|Weixi Yi et.al.|[2604.00985](http://arxiv.org/abs/2604.00985)|null|
|**2026-04-01**|**Flow-based Policy With Distributional Reinforcement Learning in Trajectory Optimization**|Ruijie Hao et.al.|[2604.00977](http://arxiv.org/abs/2604.00977)|null|
|**2026-04-01**|**Super-Resolving Coarse-Resolution Weather Forecasts With Flow Matching**|Aymeric Delefosse et.al.|[2604.00897](http://arxiv.org/abs/2604.00897)|null|
|**2026-04-01**|**EgoFlow: Gradient-Guided Flow Matching for Egocentric 6DoF Object Motion Generation**|Abhishek Saroha et.al.|[2604.01421](http://arxiv.org/abs/2604.01421)|null|
|**2026-04-01**|**JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physics**|Zeyu Xia et.al.|[2604.01313](http://arxiv.org/abs/2604.01313)|null|
|**2026-03-31**|**DFM-VLA: Iterative Action Refinement for Robot Manipulation via Discrete Flow Matching**|Jiayi Chen et.al.|[2603.26320](http://arxiv.org/abs/2603.26320)|null|
|**2026-03-31**|**FlowID : Enhancing Forensic Identification with Latent Flow-Matching Models**|Jules Ripoll et.al.|[2603.29591](http://arxiv.org/abs/2603.29591)|null|
|**2026-03-31**|**WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation**|Amogh Joshi et.al.|[2603.29089](http://arxiv.org/abs/2603.29089)|null|
|**2026-03-31**|**SANA I2I: A Text Free Flow Matching Framework for Paired Image to Image Translation with a Case Study in Fetal MRI Artifact Reduction**|Italo Felix Santos et.al.|[2604.00298](http://arxiv.org/abs/2604.00298)|null|
|**2026-03-31**|**Hierarchical Discrete Flow Matching for Graph Generation**|Yoann Boget et.al.|[2604.00236](http://arxiv.org/abs/2604.00236)|null|
|**2026-03-30**|**Stepwise Credit Assignment for GRPO on Flow-Matching Models**|Yash Savani et.al.|[2603.28718](http://arxiv.org/abs/2603.28718)|null|
|**2026-03-30**|**Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation**|Yoann Boget et.al.|[2603.28572](http://arxiv.org/abs/2603.28572)|null|
|**2026-03-30**|**StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observation**|Yiran Shi et.al.|[2603.28565](http://arxiv.org/abs/2603.28565)|null|
|**2026-03-30**|**Seen2Scene: Completing Realistic 3D Scenes with Visibility-Guided Flow**|Quan Meng et.al.|[2603.28548](http://arxiv.org/abs/2603.28548)|null|
|**2026-03-30**|**FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation**|Ruiyang Wang et.al.|[2603.27986](http://arxiv.org/abs/2603.27986)|null|
|**2026-03-30**|**An Explicit Surrogate for Gaussian Mixture Flow Matching with Wasserstein Gap Bounds**|Elham Rostami et.al.|[2603.28992](http://arxiv.org/abs/2603.28992)|null|
|**2026-03-28**|**HiFlow: Tokenization-Free Scale-Wise Autoregressive Policy Learning via Flow Matching**|Daichi Yashima et.al.|[2603.27281](http://arxiv.org/abs/2603.27281)|null|
|**2026-03-27**|**Unified Number-Free Text-to-Motion Generation Via Flow Matching**|Guanhe Huang et.al.|[2603.27040](http://arxiv.org/abs/2603.27040)|null|
|**2026-03-27**|**Probabilistic Forecasting of Localized Wildfire Spread Based on Conditional Flow Matching**|Bryan Shaddy et.al.|[2603.26975](http://arxiv.org/abs/2603.26975)|null|
|**2026-03-27**|**Property-Guided Molecular Generation and Optimization via Latent Flows**|Alexander Arjun Lobo et.al.|[2603.26889](http://arxiv.org/abs/2603.26889)|null|
|**2026-03-27**|**GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation**|Nicolas von Lützow et.al.|[2603.26661](http://arxiv.org/abs/2603.26661)|null|
|**2026-03-27**|**HolisticSemGes: Semantic Grounding of Holistic Co-Speech Gesture Generation with Contrastive Flow-Matching**|Lanmiao Liu et.al.|[2603.26553](http://arxiv.org/abs/2603.26553)|null|
|**2026-03-27**|**Identifying Connectivity Distributions from Neural Dynamics Using Flows**|Timothy Doyeon Kim et.al.|[2603.26506](http://arxiv.org/abs/2603.26506)|null|
|**2026-03-27**|**Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards**|Senura Hansaja Wanasekara et.al.|[2603.26378](http://arxiv.org/abs/2603.26378)|null|
|**2026-03-27**|**MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model**|Quan Dao et.al.|[2603.26357](http://arxiv.org/abs/2603.26357)|null|
|**2026-03-27**|**Cinematic Audio Source Separation Using Visual Cues**|Kang Zhang et.al.|[2603.26113](http://arxiv.org/abs/2603.26113)|null|
|**2026-03-27**|**JRM: Joint Reconstruction Model for Multiple Objects without Alignment**|Qirui Wu et.al.|[2603.25985](http://arxiv.org/abs/2603.25985)|null|
|**2026-03-26**|**LaMP: Learning Vision-Language-Action Policies with 3D Scene Flow as Latent Motion Prior**|Xinkai Wang et.al.|[2603.25399](http://arxiv.org/abs/2603.25399)|null|
|**2026-03-26**|**$π$ , But Make It Fly: Physics-Guided Transfer of VLA Models to Aerial Manipulation**|Johnathan Tucker et.al.|[2603.25038](http://arxiv.org/abs/2603.25038)|null|
|**2026-03-26**|**GDPO-Listener: Expressive Interactive Head Generation via Auto-Regressive Flow Matching and Group reward-Decoupled Policy Optimization**|Zhangyu Jin et.al.|[2603.25020](http://arxiv.org/abs/2603.25020)|null|
|**2026-03-26**|**BiFM: Bidirectional Flow Matching for Few-Step Image Editing and Generation**|Yasong Dai et.al.|[2603.24942](http://arxiv.org/abs/2603.24942)|null|
|**2026-03-26**|**TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Optimization**|Xuepeng Jing et.al.|[2603.24936](http://arxiv.org/abs/2603.24936)|null|
|**2026-03-26**|**Voxtral TTS**|Alexander H. Liu et.al.|[2603.25551](http://arxiv.org/abs/2603.25551)|null|
|**2026-03-26**|**Data-Driven Probabilistic Fault Detection and Identification via Density Flow Matching**|Joshua D. Ibrahim et.al.|[2603.25982](http://arxiv.org/abs/2603.25982)|null|
|**2026-03-26**|**DiReCT: Disentangled Regularization of Contrastive Trajectories for Physics-Refined Video Generation**|Abolfazl Meyarian et.al.|[2603.25931](http://arxiv.org/abs/2603.25931)|null|
|**2026-03-26**|**Geo $^\textbf{2}$ : Geometry-Guided Cross-view Geo-Localization and Image Synthesis**|Yancheng Zhang et.al.|[2603.25819](http://arxiv.org/abs/2603.25819)|null|
|**2026-03-25**|**SafeFlow: Real-Time Text-Driven Humanoid Whole-Body Control via Physics-Guided Rectified Flow and Selective Safety Gating**|Hanbyel Cho et.al.|[2603.23983](http://arxiv.org/abs/2603.23983)|null|
|**2026-03-25**|**ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities**|Tri Minh Nguyen et.al.|[2603.23943](http://arxiv.org/abs/2603.23943)|null|
|**2026-03-25**|**Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching**|Arsen Kuzhamuratov et.al.|[2603.24428](http://arxiv.org/abs/2603.24428)|null|
|**2026-03-25**|**Flow matching on homogeneous spaces**|Francesco Ruscelli et.al.|[2603.24829](http://arxiv.org/abs/2603.24829)|null|
|**2026-03-25**|**Synthetic Cardiac MRI Image Generation using Deep Generative Models**|Ishan Kumarasinghe et.al.|[2603.24764](http://arxiv.org/abs/2603.24764)|null|
|**2026-03-24**|**Uncertainty Quantification for Distribution-to-Distribution Flow Matching in Scientific Imaging**|Dongxia Wu et.al.|[2603.21717](http://arxiv.org/abs/2603.21717)|null|
|**2026-03-24**|**UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation**|Jie Liu et.al.|[2603.23500](http://arxiv.org/abs/2603.23500)|null|
|**2026-03-24**|**Foveated Diffusion: Efficient Spatially Adaptive Image and Video Generation**|Brian Chao et.al.|[2603.23491](http://arxiv.org/abs/2603.23491)|null|
|**2026-03-23**|**Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching Models**|Purui Bai et.al.|[2603.22027](http://arxiv.org/abs/2603.22027)|null|
|**2026-03-23**|**Show Me What You Don't Know: Efficient Sampling from Invariant Sets for Model Validation**|Armand Rousselot et.al.|[2603.21782](http://arxiv.org/abs/2603.21782)|null|
|**2026-03-23**|**AdaEdit: Adaptive Temporal and Channel Modulation for Flow-Based Image Editing**|Guandong Li et.al.|[2603.21615](http://arxiv.org/abs/2603.21615)|null|
|**2026-03-23**|**DiT-Flow: Speech Enhancement Robust to Multiple Distortions based on Flow Matching in Latent Space and Diffusion Transformers**|Tianyu Cao et.al.|[2603.21608](http://arxiv.org/abs/2603.21608)|null|
|**2026-03-23**|**TrajLoom: Dense Future Trajectory Generation from Video**|Zewei Zhang et.al.|[2603.22606](http://arxiv.org/abs/2603.22606)|null|
|**2026-03-23**|**MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data**|Xingzhi Sun et.al.|[2603.22564](http://arxiv.org/abs/2603.22564)|null|
|**2026-03-20**|**RiboSphere: Learning Unified and Efficient Representations of RNA Structures**|Zhou Zhang et.al.|[2603.19636](http://arxiv.org/abs/2603.19636)|null|
|**2026-03-20**|**Forward and inverse problems for measure flows in Bayes Hilbert spaces**|S. David Mis et.al.|[2603.20329](http://arxiv.org/abs/2603.20329)|null|
|**2026-03-19**|**Flow Matching Policy with Entropy Regularization**|Ting Gao et.al.|[2603.17685](http://arxiv.org/abs/2603.17685)|null|
|**2026-03-19**|**CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution**|Elad Yoshai et.al.|[2603.18513](http://arxiv.org/abs/2603.18513)|null|
|**2026-03-19**|**From Snapshots to Symphonies: The Evolution of Protein Prediction from Static Structures to Generative Dynamics and Multimodal Interactions**|Jingzhi Chen et.al.|[2603.18505](http://arxiv.org/abs/2603.18505)|null|
|**2026-03-19**|**FlowMS: Flow Matching for De Novo Structure Elucidation from Mass Spectra**|Jianan Nie et.al.|[2603.18397](http://arxiv.org/abs/2603.18397)|null|
|**2026-03-19**|**Rethinking Vector Field Learning for Generative Segmentation**|Chaoyang Wang et.al.|[2603.19218](http://arxiv.org/abs/2603.19218)|null|
|**2026-03-19**|**Few-shot Acoustic Synthesis with Multimodal Flow Matching**|Amandine Brunetto et.al.|[2603.19176](http://arxiv.org/abs/2603.19176)|null|
|**2026-03-19**|**Radar Detection through Rectified Flow Matching**|P. Meena et.al.|[2603.18995](http://arxiv.org/abs/2603.18995)|null|
|**2026-03-19**|**Foundations of Schrödinger Bridges for Generative Modeling**|Sophia Tang et.al.|[2603.18992](http://arxiv.org/abs/2603.18992)|null|
|**2026-03-19**|**Warm-Start Flow Matching for Guaranteed Fast Text/Image Generation**|Minyoung Kim et.al.|[2603.19360](http://arxiv.org/abs/2603.19360)|null|
|**2026-03-19**|**InjectFlow: Weak Guides Strong via Orthogonal Injection for Flow Matching**|Dayu Wang et.al.|[2603.20303](http://arxiv.org/abs/2603.20303)|null|
|**2026-03-19**|**UniFluids: Unified Neural Operator Learning with Conditional Flow-matching**|Haosen Li et.al.|[2603.22309](http://arxiv.org/abs/2603.22309)|null|
|**2026-03-18**|**AR-CoPO: Align Autoregressive Video Generation with Contrastive Policy Optimization**|Dailan He et.al.|[2603.17461](http://arxiv.org/abs/2603.17461)|null|
|**2026-03-18**|**Large-Scale 3D Ground-Motion Synthesis with Physics-Inspired Latent Operator Flow Matching**|Yaozhong Shi et.al.|[2603.17403](http://arxiv.org/abs/2603.17403)|null|
|**2026-03-18**|**Cohomological Obstructions to Global Counterfactuals: A Sheaf-Theoretic Foundation for Generative Causal Models**|Rui Wu et.al.|[2603.17384](http://arxiv.org/abs/2603.17384)|null|
|**2026-03-18**|**ProbeFlow: Training-Free Adaptive Flow Matching for Vision-Language-Action Models**|Zhou Fang et.al.|[2603.17850](http://arxiv.org/abs/2603.17850)|null|
|**2026-03-18**|**Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control**|Zunzhe Zhang et.al.|[2603.17834](http://arxiv.org/abs/2603.17834)|null|
|**2026-03-18**|**Few-Step Diffusion Sampling Through Instance-Aware Discretizations**|Liangyu Yuan et.al.|[2603.17671](http://arxiv.org/abs/2603.17671)|null|
|**2026-03-18**|**Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling**|Sooyoung Ryu et.al.|[2603.18095](http://arxiv.org/abs/2603.18095)|null|
|**2026-03-18**|**FalconBC: Flow matching for Amortized inference of Latent-CONditioned physiologic Boundary Conditions**|Chloe H. Choi et.al.|[2603.19331](http://arxiv.org/abs/2603.19331)|null|
|**2026-03-17**|**DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization**|Ngoc-Son Nguyen et.al.|[2603.14267](http://arxiv.org/abs/2603.14267)|null|
|**2026-03-17**|**EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp Generation**|Yukun Zhao et.al.|[2603.16151](http://arxiv.org/abs/2603.16151)|null|
|**2026-03-17**|**Towards the Vision-Sound-Language-Action Paradigm: The HEAR Framework for Sound-Centric Manipulation**|Chang Nie et.al.|[2603.16086](http://arxiv.org/abs/2603.16086)|null|
|**2026-03-17**|**MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation**|Abhay Deshpande et.al.|[2603.16861](http://arxiv.org/abs/2603.16861)|null|
|**2026-03-17**|**FlowComposer: Composable Flows for Compositional Zero-Shot Learning**|Zhenqi He et.al.|[2603.16641](http://arxiv.org/abs/2603.16641)|null|
|**2026-03-17**|**Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting**|Wanpeng Zhang et.al.|[2603.16542](http://arxiv.org/abs/2603.16542)|null|
|**2026-03-16**|**3DTCR: A Physics-Based Generative Framework for Vortex-Following 3D Reconstruction to Improve Tropical Cyclone Intensity Forecasting**|Jun Liu et.al.|[2603.13049](http://arxiv.org/abs/2603.13049)|null|
|**2026-03-16**|**Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling**|Aram Davtyan et.al.|[2603.15279](http://arxiv.org/abs/2603.15279)|null|
|**2026-03-16**|**HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing**|Konstantin Gubernatorov et.al.|[2603.15257](http://arxiv.org/abs/2603.15257)|null|
|**2026-03-16**|**WiT: Waypoint Diffusion Transformers via Trajectory Conflict Navigation**|Hainuo Wang et.al.|[2603.15132](http://arxiv.org/abs/2603.15132)|null|
|**2026-03-16**|**Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow Matching**|Fangran Miao et.al.|[2603.15016](http://arxiv.org/abs/2603.15016)|null|
|**2026-03-16**|**TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models**|Peiran Li et.al.|[2603.15009](http://arxiv.org/abs/2603.15009)|null|
|**2026-03-16**|**AnyPhoto: Multi-Person Identity Preserving Image Generation with ID Adaptive Modulation on Location Canvas**|Longhui Yuan et.al.|[2603.14770](http://arxiv.org/abs/2603.14770)|null|
|**2026-03-16**|**Generative Inverse Design with Abstention via Diagonal Flow Matching**|Miguel de Campos et.al.|[2603.15925](http://arxiv.org/abs/2603.15925)|null|
|**2026-03-16**|**Parallelised Differentiable Straightest Geodesics for 3D Meshes**|Hippolyte Verninas et.al.|[2603.15780](http://arxiv.org/abs/2603.15780)|null|
|**2026-03-16**|**You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector**|Omkar Patil et.al.|[2603.15757](http://arxiv.org/abs/2603.15757)|null|
|**2026-03-16**|**Transition Flow Matching**|Chenrui Ma et.al.|[2603.15689](http://arxiv.org/abs/2603.15689)|null|
|**2026-03-15**|**Controllable Accent Normalization via Discrete Diffusion**|Qibing Bai et.al.|[2603.14275](http://arxiv.org/abs/2603.14275)|null|
|**2026-03-15**|**GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies**|He Zhang et.al.|[2603.14245](http://arxiv.org/abs/2603.14245)|null|
|**2026-03-15**|**DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-Resolution**|Axi Niu et.al.|[2603.14207](http://arxiv.org/abs/2603.14207)|null|
|**2026-03-14**|**Solving physics-constrained inverse problems with conditional flow matching**|Agnimitra Dasgupta et.al.|[2603.14135](http://arxiv.org/abs/2603.14135)|null|
|**2026-03-14**|**Diffusion Reinforcement Learning via Centered Reward Distillation**|Yuanzhi Zhu et.al.|[2603.14128](http://arxiv.org/abs/2603.14128)|null|
|**2026-03-14**|**Beyond Two-stage Diffusion TTS: Joint Structure and Content Refinement via Jump Diffusion**|Jiabao Ai et.al.|[2603.14032](http://arxiv.org/abs/2603.14032)|null|
|**2026-03-14**|**EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis**|Emmanuel Oladokun et.al.|[2603.13967](http://arxiv.org/abs/2603.13967)|null|
|**2026-03-14**|**Discriminative Flow Matching Via Local Generative Predictors**|Om Govind Jha et.al.|[2603.13928](http://arxiv.org/abs/2603.13928)|null|
|**2026-03-14**|**NetSpatial: Spatially Conditional Traffic Generation for Cellular Planning and Operations**|Shiyuan Zhang et.al.|[2603.13839](http://arxiv.org/abs/2603.13839)|null|
|**2026-03-14**|**KoopmanFlow: Spectrally Decoupled Generative Control Policy via Koopman Structural Bias**|Chengsi Yao et.al.|[2603.13781](http://arxiv.org/abs/2603.13781)|null|
|**2026-03-14**|**PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers**|Eshed Gal et.al.|[2603.13663](http://arxiv.org/abs/2603.13663)|null|
|**2026-03-14**|**FMS $^2$ : Unified Flow Matching for Segmentation and Synthesis of Thin Structures**|Babak Asadi et.al.|[2603.13659](http://arxiv.org/abs/2603.13659)|null|
|**2026-03-13**|**SGMatch: Semantic-Guided Non-Rigid Shape Matching with Flow Regularization**|Tianwei Ye et.al.|[2603.12937](http://arxiv.org/abs/2603.12937)|null|
|**2026-03-13**|**Mask2Flow-TSE: Two-Stage Target Speaker Extraction with Masking and Flow Matching**|Junwon Moon et.al.|[2603.12837](http://arxiv.org/abs/2603.12837)|null|
|**2026-03-13**|**OARS: Process-Aware Online Alignment for Generative Real-World Image Super-Resolution**|Shijie Zhao et.al.|[2603.12811](http://arxiv.org/abs/2603.12811)|null|
|**2026-03-13**|**Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation**|Yichen Zhang et.al.|[2603.12793](http://arxiv.org/abs/2603.12793)|null|
|**2026-03-13**|**PVI: Plug-in Visual Injection for Vision-Language-Action Models**|Zezhou Zhang et.al.|[2603.12772](http://arxiv.org/abs/2603.12772)|null|
|**2026-03-13**|**VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model**|Xiangyu Sun et.al.|[2603.12655](http://arxiv.org/abs/2603.12655)|null|
|**2026-03-13**|**Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching**|Xiaotian Fan et.al.|[2603.13440](http://arxiv.org/abs/2603.13440)|null|
|**2026-03-13**|**Self-Flow-Matching assisted Full Waveform Inversion**|Xinquan Huang et.al.|[2603.13425](http://arxiv.org/abs/2603.13425)|null|
|**2026-03-12**|**SignSparK: Efficient Multilingual Sign Language Production via Sparse Keyframe Learning**|Jianhe Low et.al.|[2603.10446](http://arxiv.org/abs/2603.10446)|null|
|**2026-03-12**|**Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation**|Chongyang Xu et.al.|[2603.11984](http://arxiv.org/abs/2603.11984)|null|
|**2026-03-12**|**EvoFlows: Evolutionary Edit-Based Flow-Matching for Protein Engineering**|Nicolas Deutschmann et.al.|[2603.11703](http://arxiv.org/abs/2603.11703)|null|
|**2026-03-12**|**PROMO: Promptable Outfitting for Efficient High-Fidelity Virtual Try-On**|Haohua Chen et.al.|[2603.11675](http://arxiv.org/abs/2603.11675)|null|
|**2026-03-12**|**Resonate: Reinforcing Text-to-Audio Generation via Online Feedback from Large Audio Language Models**|Xiquan Li et.al.|[2603.11661](http://arxiv.org/abs/2603.11661)|null|
|**2026-03-12**|**Curriculum Sampling: A Two-Phase Curriculum for Efficient Training of Flow Matching**|Pengwei Sun et.al.|[2603.12517](http://arxiv.org/abs/2603.12517)|null|
|**2026-03-12**|**CalliMaster: Mastering Page-level Chinese Calligraphy via Layout-guided Spatial Planning**|Tianshuo Xu et.al.|[2603.12482](http://arxiv.org/abs/2603.12482)|null|
|**2026-03-11**|**FG-CLTP: Fine-Grained Contrastive Language Tactile Pretraining for Robotic Manipulation**|Wenxuan Ma et.al.|[2603.10871](http://arxiv.org/abs/2603.10871)|null|
|**2026-03-11**|**The Quadratic Geometry of Flow Matching: Semantic Granularity Alignment for Text-to-Image Synthesis**|Zhinan Xiong et.al.|[2603.10785](http://arxiv.org/abs/2603.10785)|null|
|**2026-03-11**|**Riemannian MeanFlow for One-Step Generation on Manifolds**|Zichen Zhong et.al.|[2603.10718](http://arxiv.org/abs/2603.10718)|null|
|**2026-03-11**|**AlphaFlowTSE: One-Step Generative Target Speaker Extraction via Conditional AlphaFlow**|Duojia Li et.al.|[2603.10701](http://arxiv.org/abs/2603.10701)|null|
|**2026-03-11**|**UHD Image Deblurring via Autoregressive Flow with Ill-conditioned Constraints**|Yucheng Xin et.al.|[2603.10517](http://arxiv.org/abs/2603.10517)|null|
|**2026-03-11**|**DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control**|Teli Ma et.al.|[2603.10448](http://arxiv.org/abs/2603.10448)|null|
|**2026-03-11**|**Graph-GRPO: Training Graph Flow Models with Reinforcement Learning**|Baoheng Zhu et.al.|[2603.10395](http://arxiv.org/abs/2603.10395)|null|
|**2026-03-11**|**LiTo: Surface Light Field Tokenization**|Jen-Hao Rick Chang et.al.|[2603.11047](http://arxiv.org/abs/2603.11047)|null|
|**2026-03-10**|**From Flow to One Step: Real-Time Multi-Modal Trajectory Policies via Implicit Maximum Likelihood Estimation-based Distribution Distillation**|Ju Dong et.al.|[2603.09415](http://arxiv.org/abs/2603.09415)|null|
|**2026-03-10**|**CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation**|Shengqi Dang et.al.|[2603.09286](http://arxiv.org/abs/2603.09286)|null|
|**2026-03-10**|**StuPASE: Towards Low-Hallucination Studio-Quality Generative Speech Enhancement**|Xiaobin Rong et.al.|[2603.09234](http://arxiv.org/abs/2603.09234)|null|
|**2026-03-10**|**UniField: A Unified Field-Aware MRI Enhancement Framework**|Yiyang Lin et.al.|[2603.09223](http://arxiv.org/abs/2603.09223)|null|
|**2026-03-10**|**GST-VLA: Structured Gaussian Spatial Tokens for 3D Depth-Aware Vision-Language-Action Models**|Md Selim Sarowar et.al.|[2603.09079](http://arxiv.org/abs/2603.09079)|null|
|**2026-03-09**|**X-AVDT: Audio-Visual Cross-Attention for Robust Deepfake Detection**|Youngseo Kim et.al.|[2603.08483](http://arxiv.org/abs/2603.08483)|null|
|**2026-03-09**|**STRIDE: Structured Lagrangian and Stochastic Residual Dynamics via Flow Matching**|Prakrut Kotecha et.al.|[2603.08478](http://arxiv.org/abs/2603.08478)|null|
|**2026-03-09**|**FlowTouch: View-Invariant Visuo-Tactile Prediction**|Seongjin Bien et.al.|[2603.08255](http://arxiv.org/abs/2603.08255)|null|
|**2026-03-09**|**Choose What to Observe: Task-Aware Semantic-Geometric Representations for Visuomotor Policy**|Haoran Ding et.al.|[2603.07875](http://arxiv.org/abs/2603.07875)|null|
|**2026-03-09**|**The Coupling Within: Flow Matching via Distilled Normalizing Flows**|David Berthelot et.al.|[2603.09014](http://arxiv.org/abs/2603.09014)|null|
|**2026-03-09**|**Statistical Inference via Generative Models: Flow Matching and Causal Inference**|Shinto Eguchi et.al.|[2603.09009](http://arxiv.org/abs/2603.09009)|null|
|**2026-03-08**|**Bolbosh: Script-Aware Flow Matching for Kashmiri Text-to-Speech**|Tajamul Ashraf et.al.|[2603.07513](http://arxiv.org/abs/2603.07513)|null|
|**2026-03-08**|**Contact-Guided 3D Genome Structure Generation of E. coli via Diffusion Transformers**|Mingxin Zhang et.al.|[2603.07472](http://arxiv.org/abs/2603.07472)|null|
|**2026-03-06**|**Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles**|Zhanghan Ni et.al.|[2603.02406](http://arxiv.org/abs/2603.02406)|null|
|**2026-03-06**|**Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis**|Hila Chefer et.al.|[2603.06507](http://arxiv.org/abs/2603.06507)|null|
|**2026-03-06**|**Training Flow Matching: The Role of Weighting and Parameterization**|Anne Gagneux et.al.|[2603.06454](http://arxiv.org/abs/2603.06454)|null|
|**2026-03-06**|**LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents**|Tianhao Zhao et.al.|[2603.06357](http://arxiv.org/abs/2603.06357)|null|
|**2026-03-06**|**Reflective Flow Sampling Enhancement**|Zikai Zhou et.al.|[2603.06165](http://arxiv.org/abs/2603.06165)|null|
|**2026-03-06**|**LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Generative Real-World Super-Resolution**|Song Fei et.al.|[2603.05947](http://arxiv.org/abs/2603.05947)|null|
|**2026-03-06**|**CBCT-Based Synthetic CT Generation Using Conditional Flow Matching Model**|Junbo Peng et.al.|[2603.05796](http://arxiv.org/abs/2603.05796)|null|
|**2026-03-06**|**Heterogeneous Decentralized Diffusion Models**|Zhiying Jiang et.al.|[2603.06741](http://arxiv.org/abs/2603.06741)|null|
|**2026-03-05**|**PhysiFlow: Physics-Aware Humanoid Whole-Body VLA via Multi-Brain Latent Flow Matching and Robust Tracking**|Weikai Qin et.al.|[2603.05410](http://arxiv.org/abs/2603.05410)|null|
|**2026-03-05**|**Distribution-Conditioned Transport**|Nic Fishman et.al.|[2603.04736](http://arxiv.org/abs/2603.04736)|null|
|**2026-03-05**|**Count Bridges enable Modeling and Deconvolving Transcriptomic Data**|Nic Fishman et.al.|[2603.04730](http://arxiv.org/abs/2603.04730)|null|
|**2026-03-05**|**Interpretable Perception and Reasoning for Audiovisual Geolocation**|Yiyang Su et.al.|[2603.05708](http://arxiv.org/abs/2603.05708)|null|
|**2026-03-04**|**Toward Early Quality Assessment of Text-to-Image Diffusion Models**|Huanlei Guo et.al.|[2603.02829](http://arxiv.org/abs/2603.02829)|null|
|**2026-03-04**|**Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study**|Madhura Edirisooriya et.al.|[2603.04340](http://arxiv.org/abs/2603.04340)|null|
|**2026-03-04**|**What Does Flow Matching Bring To TD Learning?**|Bhavya Agrawalla et.al.|[2603.04333](http://arxiv.org/abs/2603.04333)|null|
|**2026-03-04**|**FlowW2N: Whispered-to-Normal Speech Conversion via Flow-Matching**|Fabian Ritter-Gutierrez et.al.|[2603.04296](http://arxiv.org/abs/2603.04296)|null|
|**2026-03-04**|**Structural Action Transformer for 3D Dexterous Manipulation**|Xiaohan Lei et.al.|[2603.03960](http://arxiv.org/abs/2603.03960)|null|
|**2026-03-04**|**MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction**|Seunghoi Kim et.al.|[2603.03710](http://arxiv.org/abs/2603.03710)|null|
|**2026-03-04**|**One-Step Face Restoration via Shortcut-Enhanced Coupling Flow**|Xiaohui Sun et.al.|[2603.03648](http://arxiv.org/abs/2603.03648)|null|
|**2026-03-03**|**CodecFlow: Efficient Bandwidth Extension via Conditional Flow Matching in Neural Codec Latent Space**|Bowen Zhang et.al.|[2603.02022](http://arxiv.org/abs/2603.02022)|null|
|**2026-03-03**|**Flow Matching-enabled Test-Time Refinement for Unsupervised Cardiac MR Registration**|Yunguan Fu et.al.|[2603.01073](http://arxiv.org/abs/2603.01073)|null|
|**2026-03-03**|**DreamFlow: Local Navigation Beyond Observation via Conditional Flow Matching in the Latent Space**|Jiwon Park et.al.|[2603.02976](http://arxiv.org/abs/2603.02976)|null|
|**2026-03-03**|**Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving**|Tianze Zhu et.al.|[2603.02613](http://arxiv.org/abs/2603.02613)|null|
|**2026-03-02**|**LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models**|Chenxing Wei et.al.|[2603.01563](http://arxiv.org/abs/2603.01563)|null|
|**2026-03-02**|**Mean-Flow based One-Step Vision-Language-Action**|Yang Chen et.al.|[2603.01469](http://arxiv.org/abs/2603.01469)|null|
|**2026-03-02**|**DARS: Dysarthria-Aware Rhythm-Style Synthesis for ASR Enhancement**|Minghui Wu et.al.|[2603.01369](http://arxiv.org/abs/2603.01369)|null|
|**2026-03-02**|**Preconditioned Score and Flow Matching**|Shadab Ahamed et.al.|[2603.02337](http://arxiv.org/abs/2603.02337)|null|
|**2026-03-01**|**GeodesicNVS: Probability Density Geodesic Flow Matching for Novel View Synthesis**|Xuqin Wang et.al.|[2603.01010](http://arxiv.org/abs/2603.01010)|null|
|**2026-03-01**|**AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching**|Pengfei Zhang et.al.|[2603.01006](http://arxiv.org/abs/2603.01006)|null|
|**2026-03-01**|**EraseAnything++: Enabling Concept Erasure in Rectified Flow Transformers Leveraging Multi-Object Optimization**|Zhaoxin Fan et.al.|[2603.00978](http://arxiv.org/abs/2603.00978)|null|
|**2026-03-01**|**Active Flow Matching**|Yashvir S. Grewal et.al.|[2603.00877](http://arxiv.org/abs/2603.00877)|null|
|**2026-02-28**|**IdGlow: Dynamic Identity Modulation for Multi-Subject Generation**|Honghao Cai et.al.|[2603.00607](http://arxiv.org/abs/2603.00607)|null|
|**2026-02-28**|**RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation**|Xianhao Zhou et.al.|[2603.00535](http://arxiv.org/abs/2603.00535)|null|
|**2026-02-27**|**Provably Safe Generative Sampling with Constricting Barrier Functions**|Darshan Gadginmath et.al.|[2602.21429](http://arxiv.org/abs/2602.21429)|null|
|**2026-02-27**|**Mode Seeking meets Mean Seeking for Fast Long Video Generation**|Shengqu Cai et.al.|[2602.24289](http://arxiv.org/abs/2602.24289)|null|
|**2026-02-27**|**Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics**|Egor Antipov et.al.|[2602.24201](http://arxiv.org/abs/2602.24201)|null|
|**2026-02-27**|**ABPolicy: Asynchronous B-Spline Flow Policy for Real-Time and Smooth Robotic Manipulation**|Fan Yang et.al.|[2602.23901](http://arxiv.org/abs/2602.23901)|null|
|**2026-02-27**|**OmniXtreme: Breaking the Generality Barrier in High-Dynamic Humanoid Control**|Yunshen Wang et.al.|[2602.23843](http://arxiv.org/abs/2602.23843)|null|
|**2026-02-27**|**Flowette: Flow Matching with Graphette Priors for Graph Generation**|Asiri Wijesinghe et.al.|[2602.23566](http://arxiv.org/abs/2602.23566)|null|
|**2026-02-27**|**Efficient Flow Matching for Sparse-View CT Reconstruction**|Jiayang Shi et.al.|[2603.00205](http://arxiv.org/abs/2603.00205)|null|
|**2026-02-26**|**TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment**|Trung Dang et.al.|[2602.23068](http://arxiv.org/abs/2602.23068)|null|
|**2026-02-26**|**InCoM: Intent-Driven Perception and Structured Coordination for Whole-Body Mobile Manipulation**|Jiahao Liu et.al.|[2602.23024](http://arxiv.org/abs/2602.23024)|null|
|**2026-02-26**|**ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion Control**|Akihisa Watanabe et.al.|[2602.22742](http://arxiv.org/abs/2602.22742)|null|
|**2026-02-26**|**Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models**|Arkaprabha Ganguli et.al.|[2602.23518](http://arxiv.org/abs/2602.23518)|null|
|**2026-02-25**|**Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling**|Euisoo Jung et.al.|[2602.21760](http://arxiv.org/abs/2602.21760)|null|
|**2026-02-25**|**Score-Based Conditional Flow Models for MIMO Receiver Design with Superimposed Pilots**|Ruhao Zhang et.al.|[2602.21654](http://arxiv.org/abs/2602.21654)|null|
|**2026-02-25**|**D-Flow SGLD: Source-Space Posterior Sampling for Scientific Inverse Problems with Flow Matching**|Meet Hemant Parikh et.al.|[2602.21469](http://arxiv.org/abs/2602.21469)|null|
|**2026-02-25**|**Flow Matching is Adaptive to Manifold Structures**|Shivam Kumar et.al.|[2602.22486](http://arxiv.org/abs/2602.22486)|null|
|**2026-02-25**|**Entropy-Controlled Flow Matching**|Chika Maduabuchi et.al.|[2602.22265](http://arxiv.org/abs/2602.22265)|null|
|**2026-02-24**|**Communication-Inspired Tokenization for Structured Image Representations**|Aram Davtyan et.al.|[2602.20731](http://arxiv.org/abs/2602.20731)|null|
|**2026-02-24**|**PropFly: Learning to Propagate via On-the-Fly Supervision from Pre-trained Video Diffusion Models**|Wonyong Seo et.al.|[2602.20583](http://arxiv.org/abs/2602.20583)|null|
|**2026-02-24**|**Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation**|Lin Li et.al.|[2602.20479](http://arxiv.org/abs/2602.20479)|null|
|**2026-02-24**|**Zatom-1: A Multimodal Flow Foundation Model for 3D Molecules and Materials**|Alex Morehead et.al.|[2602.22251](http://arxiv.org/abs/2602.22251)|null|
|**2026-02-23**|**PackFlow: Generative Molecular Crystal Structure Prediction via Reinforcement Learning Alignment**|Akshay Subramanian et.al.|[2602.20140](http://arxiv.org/abs/2602.20140)|null|
|**2026-02-23**|**MeanFuser: Fast One-Step Multi-Modal Trajectory Generation and Adaptive Reconstruction via MeanFlow for End-to-End Autonomous Driving**|Junli Wang et.al.|[2602.20060](http://arxiv.org/abs/2602.20060)|null|
|**2026-02-23**|**AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation**|Ge Yuan et.al.|[2602.20057](http://arxiv.org/abs/2602.20057)|null|
|**2026-02-23**|**De novo molecular structure elucidation from mass spectra via flow matching**|Ghaith Mqawass et.al.|[2602.19912](http://arxiv.org/abs/2602.19912)|null|
|**2026-02-23**|**Generative 6D Pose Estimation via Conditional Flow Matching**|Amir Hamza et.al.|[2602.19719](http://arxiv.org/abs/2602.19719)|null|
|**2026-02-23**|**An LLM-Enabled Frequency-Aware Flow Diffusion Model for Natural-Language-Guided Power System Scenario Generation**|Zhenghao Zhou et.al.|[2602.19522](http://arxiv.org/abs/2602.19522)|null|
|**2026-02-23**|**Laplacian Multi-scale Flow Matching for Generative Modeling**|Zelin Zhao et.al.|[2602.19461](http://arxiv.org/abs/2602.19461)|null|
|**2026-02-22**|**AdsorbFlow: energy-conditioned flow matching enables fast and realistic adsorbate placement**|Jiangjie Qiu et.al.|[2602.19289](http://arxiv.org/abs/2602.19289)|null|
|**2026-02-22**|**Visual Prompt Guided Unified Pushing Policy**|Hieu Bui et.al.|[2602.19193](http://arxiv.org/abs/2602.19193)|null|
|**2026-02-22**|**OrgFlow: Generative Modeling of Organic Crystal Structures from Molecular Graphs**|Mohammadmahdi Vahediahmar et.al.|[2602.20195](http://arxiv.org/abs/2602.20195)|null|
|**2026-02-21**|**GenPlanner: From Noise to Plans -- Emergent Reasoning in Flow Matching and Diffusion Models**|Agnieszka Polowczyk et.al.|[2602.18812](http://arxiv.org/abs/2602.18812)|null|
|**2026-02-21**|**Statistical Error Bounds for Generative Solvers of Chaotic PDEs: Wasserstein Stability, Generalization, and Turbulence**|Victor Armegioiu et.al.|[2602.18794](http://arxiv.org/abs/2602.18794)|null|
|**2026-02-21**|**Insertion Based Sequence Generation with Learnable Order Dynamics**|Dhruvesh Patel et.al.|[2602.18695](http://arxiv.org/abs/2602.18695)|null|
|**2026-02-20**|**SARAH: Spatially Aware Real-time Agentic Humans**|Evonne Ng et.al.|[2602.18432](http://arxiv.org/abs/2602.18432)|null|
|**2026-02-20**|**Rethinking Flow and Diffusion Bridge Models for Speech Enhancement**|Dahan Wang et.al.|[2602.18355](http://arxiv.org/abs/2602.18355)|null|
|**2026-02-20**|**Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning**|Yongjae Shin et.al.|[2602.18117](http://arxiv.org/abs/2602.18117)|null|
|**2026-02-20**|**MeanVoiceFlow: One-step Nonparallel Voice Conversion with Mean Flows**|Takuhiro Kaneko et.al.|[2602.18104](http://arxiv.org/abs/2602.18104)|null|
|**2026-02-20**|**Balancing Symmetry and Efficiency in Graph Flow Matching**|Benjamin Honoré et.al.|[2602.18084](http://arxiv.org/abs/2602.18084)|null|
|**2026-02-19**|**Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis**|Pengfei Zhang et.al.|[2602.15909](http://arxiv.org/abs/2602.15909)|null|
|**2026-02-19**|**Conditional Flow Matching for Continuous Anomaly Detection in Autonomous Driving on a Manifold-Aware Spectral Space**|Antonio Guillen-Perez et.al.|[2602.17586](http://arxiv.org/abs/2602.17586)|null|
|**2026-02-19**|**Variational Grey-Box Dynamics Matching**|Gurjeet Sangra Singh et.al.|[2602.17477](http://arxiv.org/abs/2602.17477)|null|
|**2026-02-19**|**MGD: Moment Guided Diffusion for Maximum Entropy Generation**|Etienne Lempereur et.al.|[2602.17211](http://arxiv.org/abs/2602.17211)|null|
|**2026-02-19**|**Grasp Synthesis Matching From Rigid To Soft Robot Grippers Using Conditional Flow Matching**|Tanisha Parulekar et.al.|[2602.17110](http://arxiv.org/abs/2602.17110)|null|
|**2026-02-19**|**Synergizing Transport-Based Generative Models and Latent Geometry for Stochastic Closure Modeling**|Xinghao Dong et.al.|[2602.17089](http://arxiv.org/abs/2602.17089)|null|
|**2026-02-17**|**SafeFlowMPC: Predictive and Safe Trajectory Planning for Robot Manipulators with Learning-based Policies**|Thies Oelerich et.al.|[2602.12794](http://arxiv.org/abs/2602.12794)|null|
|**2026-02-17**|**Consistency-Preserving Diverse Video Generation**|Xinshuang Liu et.al.|[2602.15287](http://arxiv.org/abs/2602.15287)|null|
|**2026-02-17**|**MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching**|Cheng Zeng et.al.|[2602.16020](http://arxiv.org/abs/2602.16020)|null|
|**2026-02-16**|**Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation**|Cai Zhou et.al.|[2602.15022](http://arxiv.org/abs/2602.15022)|null|
|**2026-02-16**|**DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI**|En Yu et.al.|[2602.14974](http://arxiv.org/abs/2602.14974)|null|
|**2026-02-16**|**ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies**|Xingjian Wu et.al.|[2602.14681](http://arxiv.org/abs/2602.14681)|null|
|**2026-02-16**|**Bayesian Cosmic Void Finding with Graph Flows**|Leander Thiele et.al.|[2602.14630](http://arxiv.org/abs/2602.14630)|null|
|**2026-02-16**|**PolyNODE: Variable-dimension Neural ODEs on M-polyfolds**|Per Åhag et.al.|[2602.15128](http://arxiv.org/abs/2602.15128)|null|
|**2026-02-15**|**ProAct: A Dual-System Framework for Proactive Embodied Social Agents**|Zeyi Zhang et.al.|[2602.14048](http://arxiv.org/abs/2602.14048)|null|
|**2026-02-14**|**Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference**|Jorge Carrasco-Pollo et.al.|[2602.13813](http://arxiv.org/abs/2602.13813)|null|
|**2026-02-14**|**MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment Transfer**|Heng Zhi et.al.|[2602.13764](http://arxiv.org/abs/2602.13764)|null|
|**2026-02-14**|**HybridFlow: A Two-Step Generative Policy for Robotic Manipulation**|Zhenchen Dong et.al.|[2602.13718](http://arxiv.org/abs/2602.13718)|null|
|**2026-02-13**|**Order Matters in Retrosynthesis: Structure-aware Generation via Reaction-Center-Guided Discrete Flow Matching**|Chenguang Wang et.al.|[2602.13136](http://arxiv.org/abs/2602.13136)|null|
|**2026-02-13**|**Diverging Flows: Detecting Extrapolations in Conditional Generation**|Constantinos Tsakonas et.al.|[2602.13061](http://arxiv.org/abs/2602.13061)|null|
|**2026-02-13**|**TFTF: Training-Free Targeted Flow for Conditional Sampling**|Qianqian Qu et.al.|[2602.12932](http://arxiv.org/abs/2602.12932)|null|
|**2026-02-13**|**Amortized Reasoning Tree Search: Decoupling Proposal and Decision in Large Language Models**|Zesheng Hong et.al.|[2602.12846](http://arxiv.org/abs/2602.12846)|null|
|**2026-02-13**|**FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching**|Lei Lv et.al.|[2602.12829](http://arxiv.org/abs/2602.12829)|null|
|**2026-02-13**|**Scaling Single Human Demonstrations for Imitation Learning using Generative Foundational Models**|Nick Heppert et.al.|[2602.12734](http://arxiv.org/abs/2602.12734)|null|
|**2026-02-13**|**Flow Matching from Viewpoint of Proximal Operators**|Kenji Fukumizu et.al.|[2602.12683](http://arxiv.org/abs/2602.12683)|null|
|**2026-02-13**|**Generative Site-Specific Beamforming via Information-Maximizing Codebook**|Cheng-Jie Zhao et.al.|[2602.12552](http://arxiv.org/abs/2602.12552)|null|
|**2026-02-13**|**Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models**|Bowen Ping et.al.|[2602.12529](http://arxiv.org/abs/2602.12529)|null|
|**2026-02-13**|**FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation**|Huajian Zeng et.al.|[2602.13444](http://arxiv.org/abs/2602.13444)|null|
|**2026-02-12**|**3DXTalker: Unifying Identity, Lip Sync, Emotion, and Spatial Dynamics in Expressive 3D Talking Avatars**|Zhongju Wang et.al.|[2602.10516](http://arxiv.org/abs/2602.10516)|null|
|**2026-02-12**|**Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data**|Duy Nguyen et.al.|[2602.12267](http://arxiv.org/abs/2602.12267)|null|
|**2026-02-12**|**Categorical Flow Maps**|Daan Roos et.al.|[2602.12233](http://arxiv.org/abs/2602.12233)|null|
|**2026-02-12**|**Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching**|Onkar Susladkar et.al.|[2602.12221](http://arxiv.org/abs/2602.12221)|null|
|**2026-02-12**|**FAIL: Flow Matching Adversarial Imitation Learning for Image Generation**|Yeyao Ma et.al.|[2602.12155](http://arxiv.org/abs/2602.12155)|null|
|**2026-02-12**|**ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation**|Zedong Chu et.al.|[2602.11598](http://arxiv.org/abs/2602.11598)|null|
|**2026-02-12**|**SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech Synthesis**|Yifan Liang et.al.|[2602.11477](http://arxiv.org/abs/2602.11477)|null|
|**2026-02-12**|**LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens**|Zekun Li et.al.|[2602.12370](http://arxiv.org/abs/2602.12370)|null|
|**2026-02-12**|**OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model**|Maomao Li et.al.|[2602.12304](http://arxiv.org/abs/2602.12304)|null|
|**2026-02-11**|**Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling**|Gongye Liu et.al.|[2602.11146](http://arxiv.org/abs/2602.11146)|null|
|**2026-02-11**|**FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference**|Divya Jyoti Bajpai et.al.|[2602.11105](http://arxiv.org/abs/2602.11105)|null|
|**2026-02-11**|**Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization**|Benjy Friedmann et.al.|[2602.10794](http://arxiv.org/abs/2602.10794)|null|
|**2026-02-11**|**Dual-End Consistency Model**|Linwei Dong et.al.|[2602.10764](http://arxiv.org/abs/2602.10764)|null|
|**2026-02-11**|**Towards Universal Spatial Transcriptomics Super-Resolution: A Generalist Physically Consistent Flow Matching Framework**|Xinlei Huang et.al.|[2602.10644](http://arxiv.org/abs/2602.10644)|null|
|**2026-02-11**|**Driving Reaction Trajectories via Latent Flow Matching**|Yili Shen et.al.|[2602.10476](http://arxiv.org/abs/2602.10476)|null|
|**2026-02-11**|**A Multimodal Conditional Mixture Model with Distribution-Level Physics Priors**|Jinkyo Han et.al.|[2602.10451](http://arxiv.org/abs/2602.10451)|null|
|**2026-02-11**|**Binary Flow Matching: Prediction-Loss Space Alignment for Robust Learning**|Jiadong Hong et.al.|[2602.10420](http://arxiv.org/abs/2602.10420)|null|
|**2026-02-11**|**Latent Generative Solvers for Generalizable Long-Term Physics Simulation**|Zituo Chen et.al.|[2602.11229](http://arxiv.org/abs/2602.11229)|null|
|**2026-02-10**|**Shifting the Breaking Point of Flow Matching for Multi-Instance Editing**|Carmine Zaccagnino et.al.|[2602.08749](http://arxiv.org/abs/2602.08749)|null|
|**2026-02-10**|**Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders**|Amandeep Kumar et.al.|[2602.10099](http://arxiv.org/abs/2602.10099)|null|
|**2026-02-10**|**Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularization**|Ye Wang et.al.|[2602.09722](http://arxiv.org/abs/2602.09722)|null|
|**2026-02-10**|**Look-Ahead and Look-Back Flows: Training-Free Image Generation with Trajectory Smoothing**|Yan Luo et.al.|[2602.09449](http://arxiv.org/abs/2602.09449)|null|
|**2026-02-10**|**Flow Matching with Uncertainty Quantification and Guidance**|Juyeop Han et.al.|[2602.10326](http://arxiv.org/abs/2602.10326)|null|
|**2026-02-10**|**Comparing surface and deep horizontal distributions of depth-keeping particles in shallow fluid layers**|Lenin M. Flores Ramírez et.al.|[2602.10318](http://arxiv.org/abs/2602.10318)|null|
|**2026-02-10**|**Adaptive Time Step Flow Matching for Autonomous Driving Motion Planning**|Ananya Trivedi et.al.|[2602.10285](http://arxiv.org/abs/2602.10285)|null|
|**2026-02-10**|**Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe**|Md. Khairul Islam et.al.|[2602.10172](http://arxiv.org/abs/2602.10172)|null|
|**2026-02-09**|**Joint Channel Sounding and Source-Channel Coding for MIMO-OFDM Systems: Deep Unified Encoding and Parallel Flow-Matching Decoding**|Hao Jiang et.al.|[2602.08795](http://arxiv.org/abs/2602.08795)|null|
|**2026-02-09**|**Is Flow Matching Just Trajectory Replay for Sequential Data?**|Soon Hoe Lim et.al.|[2602.08318](http://arxiv.org/abs/2602.08318)|null|
|**2026-02-09**|**Fast Flow Matching based Conditional Independence Tests for Causal Discovery**|Shunyu Zhao et.al.|[2602.08315](http://arxiv.org/abs/2602.08315)|null|
|**2026-02-08**|**Epigraph-Guided Flow Matching for Safe and Performant Offline Reinforcement Learning**|Manan Tayal et.al.|[2602.08054](http://arxiv.org/abs/2602.08054)|null|
|**2026-02-08**|**A Kinetic-Energy Perspective of Flow Matching**|Ziyun Li et.al.|[2602.07928](http://arxiv.org/abs/2602.07928)|null|
|**2026-02-07**|**AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction**|Nayoung Kim et.al.|[2602.07351](http://arxiv.org/abs/2602.07351)|null|
|**2026-02-07**|**Action-to-Action Flow Matching**|Jindou Jia et.al.|[2602.07322](http://arxiv.org/abs/2602.07322)|null|
|**2026-02-06**|**NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices**|Ruchika Chavhan et.al.|[2602.06879](http://arxiv.org/abs/2602.06879)|null|
|**2026-02-06**|**FlowDA: Accurate, Low-Latency Weather Data Assimilation via Flow Matching**|Ran Cheng et.al.|[2602.06800](http://arxiv.org/abs/2602.06800)|null|
|**2026-02-06**|**SaDiT: Efficient Protein Backbone Design via Latent Structural Tokenization and Diffusion Transformers**|Shentong Mo et.al.|[2602.06706](http://arxiv.org/abs/2602.06706)|null|
|**2026-02-06**|**Crowd-FM: Learned Optimal Selection of Conditional Flow Matching-generated Trajectories for Crowd Navigation**|Antareep Singha et.al.|[2602.06698](http://arxiv.org/abs/2602.06698)|null|
|**2026-02-06**|**Memory-Conditioned Flow-Matching for Stable Autoregressive PDE Rollouts**|Victor Armegioiu et.al.|[2602.06689](http://arxiv.org/abs/2602.06689)|null|
|**2026-02-06**|**Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO**|Yunze Tong et.al.|[2602.06422](http://arxiv.org/abs/2602.06422)|null|
|**2026-02-06**|**scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction**|Chenglei Yu et.al.|[2602.07103](http://arxiv.org/abs/2602.07103)|null|
|**2026-02-06**|**AbFlow : End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching**|Wenda Wang et.al.|[2602.07084](http://arxiv.org/abs/2602.07084)|null|
|**2026-02-05**|**Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching**|Junwan Kim et.al.|[2602.05951](http://arxiv.org/abs/2602.05951)|null|
|**2026-02-05**|**FMPose3D: monocular 3D pose estimation via flow matching**|Ti Wang et.al.|[2602.05755](http://arxiv.org/abs/2602.05755)|null|
|**2026-02-05**|**Path-Guided Flow Matching for Dataset Distillation**|Xuhui Li et.al.|[2602.05616](http://arxiv.org/abs/2602.05616)|null|
|**2026-02-05**|**Steering Large Reasoning Models towards Concise Reasoning via Flow Matching**|Yawei Li et.al.|[2602.05539](http://arxiv.org/abs/2602.05539)|null|
|**2026-02-05**|**Stable Velocity: A Variance Perspective on Flow Matching**|Donglin Yang et.al.|[2602.05435](http://arxiv.org/abs/2602.05435)|null|
|**2026-02-05**|**Dataset Distillation via Relative Distribution Matching and Cognitive Heritage**|Qianxin Xia et.al.|[2602.05391](http://arxiv.org/abs/2602.05391)|null|
|**2026-02-05**|**CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching**|Minkyu Kim et.al.|[2602.05372](http://arxiv.org/abs/2602.05372)|null|
|**2026-02-05**|**Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective**|Yinan Huang et.al.|[2602.05319](http://arxiv.org/abs/2602.05319)|null|
|**2026-02-05**|**RFM-Pose:Reinforcement-Guided Flow Matching for Fast Category-Level 6D Pose Estimation**|Diya He et.al.|[2602.05257](http://arxiv.org/abs/2602.05257)|null|
|**2026-02-05**|**Disentangled Representation Learning via Flow Matching**|Jinjin Chi et.al.|[2602.05214](http://arxiv.org/abs/2602.05214)|null|
|**2026-02-05**|**ARCHI-TTS: A flow-matching-based Text-to-Speech Model with Self-supervised Semantic Aligner and Accelerated Inference**|Chunyat Wu et.al.|[2602.05207](http://arxiv.org/abs/2602.05207)|null|
|**2026-02-05**|**Total Variation Rates for Riemannian Flow Matching**|Yunrui Guan et.al.|[2602.05174](http://arxiv.org/abs/2602.05174)|null|
|**2026-02-05**|**Flow Matching for Offline Reinforcement Learning with Discrete Actions**|Fairoz Nower Khan et.al.|[2602.06138](http://arxiv.org/abs/2602.06138)|null|
|**2026-02-05**|**Exploring Physical Intelligence Emergence via Omni-Modal Architecture and Physical Data Engine**|Minghao Han et.al.|[2602.07064](http://arxiv.org/abs/2602.07064)|null|
|**2026-02-04**|**Conditional Flow Matching for Visually-Guided Acoustic Highlighting**|Hugo Malard et.al.|[2602.03762](http://arxiv.org/abs/2602.03762)|null|
|**2026-02-04**|**DMFlow: Disordered Materials Generation by Flow Matching**|Liming Wu et.al.|[2602.04734](http://arxiv.org/abs/2602.04734)|null|
|**2026-02-04**|**Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution**|Hyeonjae Kim et.al.|[2602.04193](http://arxiv.org/abs/2602.04193)|null|
|**2026-02-04**|**PFluxTTS: Hybrid Flow-Matching TTS with Robust Cross-Lingual Voice Cloning and Inference-Time Model Fusion**|Vikentii Pankov et.al.|[2602.04160](http://arxiv.org/abs/2602.04160)|null|
|**2026-02-04**|**Euphonium: Steering Video Flow Matching via Process Reward Gradient Guided Stochastic Dynamics**|Ruizhe Zhong et.al.|[2602.04928](http://arxiv.org/abs/2602.04928)|null|
|**2026-02-04**|**Temporal Pair Consistency for Variance-Reduced Flow Matching**|Chika Maduabuchi et.al.|[2602.04908](http://arxiv.org/abs/2602.04908)|null|
|**2026-02-03**|**RFS: Reinforcement learning with Residual flow steering for dexterous manipulation**|Entong Su et.al.|[2602.01789](http://arxiv.org/abs/2602.01789)|null|
|**2026-02-03**|**CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting**|Yaguo Liu et.al.|[2602.03564](http://arxiv.org/abs/2602.03564)|null|
|**2026-02-03**|**CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering**|Siyi Wang et.al.|[2602.03420](http://arxiv.org/abs/2602.03420)|null|
|**2026-02-03**|**RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization**|Songming Liu et.al.|[2602.03310](http://arxiv.org/abs/2602.03310)|null|
|**2026-02-03**|**Geometry-Preserving Neural Architectures on Manifolds with Boundary**|Karthik Elamvazhuthi et.al.|[2602.03082](http://arxiv.org/abs/2602.03082)|null|
|**2026-02-03**|**Distance Marching for Generative Modeling**|Zimo Wang et.al.|[2602.02928](http://arxiv.org/abs/2602.02928)|null|
|**2026-02-03**|**VLS: Steering Pretrained Robot Policies via Vision-Language Models**|Shuo Liu et.al.|[2602.03973](http://arxiv.org/abs/2602.03973)|null|
|**2026-02-03**|**Beyond Independent Genes: Learning Module-Inductive Representations for Gene Perturbation Prediction**|Jiafa Ruan et.al.|[2602.04901](http://arxiv.org/abs/2602.04901)|null|
|**2026-02-02**|**Flow Policy Gradients for Robot Control**|Brent Yi et.al.|[2602.02481](http://arxiv.org/abs/2602.02481)|null|
|**2026-02-02**|**Repurposing Protein Language Models for Latent Flow-Based Fitness Optimization**|Amaru Caceres Arroyo et.al.|[2602.02425](http://arxiv.org/abs/2602.02425)|null|
|**2026-02-02**|**PRISM: Performer RS-IMLE for Single-pass Multisensory Imitation Learning**|Amisha Bhaskar et.al.|[2602.02396](http://arxiv.org/abs/2602.02396)|null|
|**2026-02-02**|**MoLF: Mixture-of-Latent-Flow for Pan-Cancer Spatial Gene Expression Prediction from Histology**|Susu Hu et.al.|[2602.02282](http://arxiv.org/abs/2602.02282)|null|
|**2026-02-02**|**Unlocking the Duality between Flow and Field Matching**|Daniil Shlenskii et.al.|[2602.02261](http://arxiv.org/abs/2602.02261)|null|
|**2026-02-02**|**LiFlow: Flow Matching for 3D LiDAR Scene Completion**|Andrea Matteazzi et.al.|[2602.02232](http://arxiv.org/abs/2602.02232)|null|
|**2026-02-02**|**Logic-Guided Vector Fields for Constrained Generative Modeling**|Ali Baheri et.al.|[2602.02009](http://arxiv.org/abs/2602.02009)|null|
|**2026-02-02**|**Boosting Maximum Entropy Reinforcement Learning via One-Step Flow Matching**|Zeqiao Li et.al.|[2602.01606](http://arxiv.org/abs/2602.01606)|null|
|**2026-02-02**|**Know Your Step: Faster and Better Alignment for Flow Matching Models via Step-aware Advantages**|Zhixiong Yue et.al.|[2602.01591](http://arxiv.org/abs/2602.01591)|null|
|**2026-02-02**|**Causal Flow Q-Learning for Robust Offline Reinforcement Learning**|Mingxuan Li et.al.|[2602.02847](http://arxiv.org/abs/2602.02847)|null|
|**2026-02-02**|**Adaptive Linear Path Model-Based Diffusion**|Yutaka Shimizu et.al.|[2602.02831](http://arxiv.org/abs/2602.02831)|null|
|**2026-02-02**|**Causality--Δ: Jacobian-Based Dependency Analysis in Flow Matching Models**|Reza Rezvan et.al.|[2602.02793](http://arxiv.org/abs/2602.02793)|null|
|**2026-02-02**|**Discovering Data Manifold Geometry via Non-Contracting Flows**|David Vigouroux et.al.|[2602.02611](http://arxiv.org/abs/2602.02611)|null|
|**2026-02-01**|**PromptRL: Prompt Matters in RL for Flow-Based Image Generation**|Fu-Yun Wang et.al.|[2602.01382](http://arxiv.org/abs/2602.01382)|null|
|**2026-02-01**|**FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching**|Divya Jyoti Bajpai et.al.|[2602.01329](http://arxiv.org/abs/2602.01329)|null|
|**2026-02-01**|**PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning**|Shunpeng Yang et.al.|[2602.01156](http://arxiv.org/abs/2602.01156)|null|
|**2026-02-01**|**KAN We Flow? Advancing Robotic Manipulation with 3D Flow Matching via KAN & RWKV**|Zhihao Chen et.al.|[2602.01115](http://arxiv.org/abs/2602.01115)|null|
|**2026-02-01**|**StreamVLA: Breaking the Reason-Act Cycle via Completion-State Gating**|Hang Wu et.al.|[2602.01100](http://arxiv.org/abs/2602.01100)|null|
|**2026-02-01**|**Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models**|Zhiqi Zhang et.al.|[2602.01089](http://arxiv.org/abs/2602.01089)|null|
|**2026-01-31**|**DIAMOND: Directed Inference for Artifact Mitigation in Flow Matching Models**|Alicja Polowczyk et.al.|[2602.00883](http://arxiv.org/abs/2602.00883)|null|
|**2026-01-31**|**Improving Flow Matching by Aligning Flow Divergence**|Yuhao Huang et.al.|[2602.00869](http://arxiv.org/abs/2602.00869)|null|
|**2026-01-31**|**SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning**|Xu Pan et.al.|[2602.00743](http://arxiv.org/abs/2602.00743)|null|
|**2026-01-31**|**Riemannian Flow Matching for Disentangled Graph Domain Adaptation**|Yingxu Wang et.al.|[2602.00656](http://arxiv.org/abs/2602.00656)|null|
|**2026-01-30**|**SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models**|Nan Lin et.al.|[2601.21706](http://arxiv.org/abs/2601.21706)|null|
|**2026-01-30**|**Bi-Anchor Interpolation Solver for Accelerating Generative Modeling**|Hongxu Chen et.al.|[2601.21542](http://arxiv.org/abs/2601.21542)|null|
|**2026-01-30**|**How well do generative models solve inverse problems? A benchmark study**|Patrick Krüger et.al.|[2601.23238](http://arxiv.org/abs/2601.23238)|null|
|**2026-01-30**|**Temporally Coherent Imitation Learning via Latent Action Flow Matching for Robotic Manipulation**|Wu Songwei et.al.|[2601.23087](http://arxiv.org/abs/2601.23087)|null|
|**2026-01-30**|**SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants**|Santanu Subhash Rathod et.al.|[2601.23072](http://arxiv.org/abs/2601.23072)|null|
|**2026-01-30**|**OneFlowSBI: One Model, Many Queries for Simulation-Based Inference**|Mayank Nautiyal et.al.|[2601.22951](http://arxiv.org/abs/2601.22951)|null|
|**2026-01-30**|**DINO-SAE: DINO Spherical Autoencoder for High-Fidelity Image Reconstruction and Generation**|Hun Chang et.al.|[2601.22904](http://arxiv.org/abs/2601.22904)|null|
|**2026-01-30**|**Unconditional flow-based time series generation with equivariance-regularised latent spaces**|Camilo Carvajal Reyes et.al.|[2601.22848](http://arxiv.org/abs/2601.22848)|null|
|**2026-01-30**|**Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features**|Markus Mueller et.al.|[2601.22816](http://arxiv.org/abs/2601.22816)|null|
|**2026-01-30**|**Variational Bayesian Flow Network for Graph Generation**|Yida Xiong et.al.|[2601.22524](http://arxiv.org/abs/2601.22524)|null|
|**2026-01-30**|**Gradual Fine-Tuning for Flow Matching Models**|Gudrun Thorkelsdottir et.al.|[2601.22495](http://arxiv.org/abs/2601.22495)|null|
|**2026-01-29**|**Prior-Informed Flow Matching for Graph Reconstruction**|Harvey Chen et.al.|[2601.22107](http://arxiv.org/abs/2601.22107)|null|
|**2026-01-29**|**Holographic generative flows with AdS/CFT**|Ehsan Mirafzali et.al.|[2601.22033](http://arxiv.org/abs/2601.22033)|null|
|**2026-01-29**|**Improving Classifier-Free Guidance of Flow Matching via Manifold Projection**|Jian-Feng Cai et.al.|[2601.21892](http://arxiv.org/abs/2601.21892)|null|
|**2026-01-29**|**Generative Modeling of Discrete Data Using Geometric Latent Subspaces**|Daniel Gonzalez-Alvarado et.al.|[2601.21831](http://arxiv.org/abs/2601.21831)|null|
|**2026-01-29**|**Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching**|Li Ju et.al.|[2601.21662](http://arxiv.org/abs/2601.21662)|null|
|**2026-01-29**|**Generative Design of Ship Propellers using Conditional Flow Matching**|Patrick Kruger et.al.|[2601.21637](http://arxiv.org/abs/2601.21637)|null|
|**2026-01-29**|**Revisiting Diffusion Model Predictions Through Dimensionality**|Qing Jin et.al.|[2601.21419](http://arxiv.org/abs/2601.21419)|null|
|**2026-01-29**|**SemanticAudio: Audio Generation and Editing in Semantic Space**|Zheqi Dai et.al.|[2601.21402](http://arxiv.org/abs/2601.21402)|null|
|**2026-01-29**|**Rethinking Refinement: Correcting Generative Bias without Noise Injection**|Xin Peng et.al.|[2601.21182](http://arxiv.org/abs/2601.21182)|null|
|**2026-01-29**|**Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions**|Lingkai Kong et.al.|[2601.22211](http://arxiv.org/abs/2601.22211)|null|
|**2026-01-28**|**One Step Is Enough: Dispersive MeanFlow Policy Optimization**|Guowei Zou et.al.|[2601.20701](http://arxiv.org/abs/2601.20701)|null|
|**2026-01-28**|**WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport**|Xinyu Wang et.al.|[2601.20606](http://arxiv.org/abs/2601.20606)|null|
|**2026-01-28**|**RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow Matching**|Zhen Liu et.al.|[2601.20364](http://arxiv.org/abs/2601.20364)|null|
|**2026-01-28**|**Can Continuous-Time Diffusion Models Generate and Solve Globally Constrained Discrete Problems? A Study on Sudoku**|Mariia Drozdova et.al.|[2601.20363](http://arxiv.org/abs/2601.20363)|null|
|**2026-01-28**|**Order-Optimal Sample Complexity of Rectified Flows**|Hari Krishna Sahoo et.al.|[2601.20250](http://arxiv.org/abs/2601.20250)|null|
|**2026-01-28**|**TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance**|Zhemeng Zhang et.al.|[2601.20239](http://arxiv.org/abs/2601.20239)|null|
|**2026-01-28**|**DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment**|Haoyou Deng et.al.|[2601.20218](http://arxiv.org/abs/2601.20218)|null|
|**2026-01-27**|**C2NP: A Benchmark for Learning Scale-Dependent Geometric Invariances in 3D Materials Generation**|Can Polat et.al.|[2601.19076](http://arxiv.org/abs/2601.19076)|null|
|**2026-01-27**|**MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference**|Huanlin Gao et.al.|[2601.19961](http://arxiv.org/abs/2601.19961)|null|
|**2026-01-27**|**VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddings**|Bharath Krishnamurthy et.al.|[2601.20883](http://arxiv.org/abs/2601.20883)|null|
|**2026-01-26**|**Learned harmonic mean estimation of the marginal likelihood for multimodal posteriors with flow matching**|Alicja Polanska et.al.|[2601.18683](http://arxiv.org/abs/2601.18683)|null|
|**2026-01-26**|**Geneses: Unified Generative Speech Enhancement and Separation**|Kohei Asai et.al.|[2601.18456](http://arxiv.org/abs/2601.18456)|null|
|**2026-01-26**|**HomoFM: Deep Homography Estimation with Flow Matching**|Mengfan He et.al.|[2601.18222](http://arxiv.org/abs/2601.18222)|null|
|**2026-01-25**|**Flow-based Extremal Mathematical Structure Discovery**|Gergely Bérczi et.al.|[2601.18005](http://arxiv.org/abs/2601.18005)|null|
|**2026-01-25**|**UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders**|Matthew Walmer et.al.|[2601.17950](http://arxiv.org/abs/2601.17950)|null|
|**2026-01-25**|**Learning Sewing Patterns via Latent Flow Matching of Implicit Fields**|Cong Cao et.al.|[2601.17740](http://arxiv.org/abs/2601.17740)|null|
|**2026-01-25**|**Flatten The Complex: Joint B-Rep Generation via Compositional $k$ -Cell Particles**|Junran Lu et.al.|[2601.17733](http://arxiv.org/abs/2601.17733)|null|
|**2026-01-23**|**Q-learning with Adjoint Matching**|Qiyang Li et.al.|[2601.14234](http://arxiv.org/abs/2601.14234)|null|
|**2026-01-23**|**Recursive Flow: A Generative Framework for MIMO Channel Estimation**|Zehua Jiang et.al.|[2601.15767](http://arxiv.org/abs/2601.15767)|null|
|**2026-01-23**|**Flow Matching for Probabilistic Monocular 3D Human Pose Estimation**|Cuong Le et.al.|[2601.16763](http://arxiv.org/abs/2601.16763)|null|
|**2026-01-23**|**HapticMatch: An Exploration for Generative Material Haptic Simulation and Interaction**|Mingxin Zhang et.al.|[2601.16639](http://arxiv.org/abs/2601.16639)|null|
|**2026-01-23**|**FlowSE-GRPO: Training Flow Matching Speech Enhancement via Online Reinforcement Learning**|Haoxu Wang et.al.|[2601.16483](http://arxiv.org/abs/2601.16483)|null|
|**2026-01-22**|**DeepASMR: LLM-Based Zero-Shot ASMR Speech Generation for Anyone of Any Voice**|Leying Zhang et.al.|[2601.15596](http://arxiv.org/abs/2601.15596)|null|
|**2026-01-21**|**FlowSSC: Universal Generative Monocular Semantic Scene Completion via One-Step Latent Diffusion**|Zichen Xi et.al.|[2601.15250](http://arxiv.org/abs/2601.15250)|null|
|**2026-01-21**|**Deep Leakage with Generative Flow Matching Denoiser**|Isaac Baglin et.al.|[2601.15049](http://arxiv.org/abs/2601.15049)|null|
|**2026-01-21**|**MTFlow: Time-Conditioned Flow Matching for Microtubule Segmentation in Noisy Microscopy Images**|Sidi Mohamed Sid El Moctar et.al.|[2601.14841](http://arxiv.org/abs/2601.14841)|null|
|**2026-01-20**|**TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers**|Bin Yu et.al.|[2601.14133](http://arxiv.org/abs/2601.14133)|null|
|**2026-01-20**|**Channel Estimation in MIMO Systems Using Flow Matching Models**|Yongqiang Zhang et.al.|[2601.13827](http://arxiv.org/abs/2601.13827)|null|
|**2026-01-20**|**Principled Latent Diffusion for Graphs via Laplacian Autoencoders**|Antoine Siraudin et.al.|[2601.13780](http://arxiv.org/abs/2601.13780)|null|
|**2026-01-20**|**vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting**|Wenzhen Yue et.al.|[2601.13768](http://arxiv.org/abs/2601.13768)|null|
|**2026-01-20**|**S $^2$ Voice: Style-Aware Autoregressive Modeling with Enhanced Conditioning for Singing Style Conversion**|Ziqian Wang et.al.|[2601.13629](http://arxiv.org/abs/2601.13629)|null|
|**2026-01-20**|**Single-step Controllable Music Bandwidth Extension With Flow Matching**|Carlos Hernandez-Olivan et.al.|[2601.14356](http://arxiv.org/abs/2601.14356)|null|
|**2026-01-19**|**ImmersiveFlow: Stereo-to-7.1.4 spatial audio generation with flow matching**|Zining Liang et.al.|[2601.12950](http://arxiv.org/abs/2601.12950)|null|
|**2026-01-19**|**Generating Cyclic Conformers with Flow Matching in Cremer-Pople Coordinates**|Luca Schaufelberger et.al.|[2601.12859](http://arxiv.org/abs/2601.12859)|null|
|**2026-01-18**|**Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation**|Dasith de Silva Edirimuni et.al.|[2601.12391](http://arxiv.org/abs/2601.12391)|null|
|**2026-01-18**|**FlowIID: Single-Step Intrinsic Image Decomposition via Latent Flow Matching**|Mithlesh Singla et.al.|[2601.12329](http://arxiv.org/abs/2601.12329)|null|
|**2026-01-17**|**DeFlow: Decoupling Manifold Modeling and Value Maximization for Offline Policy Extraction**|Zhancun Mu et.al.|[2601.10471](http://arxiv.org/abs/2601.10471)|null|
|**2026-01-16**|**MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization**|Andrea Rubbi et.al.|[2601.11827](http://arxiv.org/abs/2601.11827)|null|
|**2026-01-15**|**DSA-Tokenizer: Disentangled Semantic-Acoustic Tokenization via Flow Matching-based Hierarchical Fusion**|Hanlin Zhang et.al.|[2601.09239](http://arxiv.org/abs/2601.09239)|null|
|**2026-01-15**|**Analytic Bijections for Smooth and Interpretable Normalizing Flows**|Mathis Gerdes et.al.|[2601.10774](http://arxiv.org/abs/2601.10774)|null|
|**2026-01-14**|**VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction**|Longbin Ji et.al.|[2601.05966](http://arxiv.org/abs/2601.05966)|null|
|**2026-01-14**|**VibrantSR: Sub-Meter Canopy Height Models from Sentinel-2 Using Generative Flow Matching**|Kiarie Ndegwa et.al.|[2601.09866](http://arxiv.org/abs/2601.09866)|null|
|**2026-01-14**|**A one-step generation model with a Single-Layer Transformer: Layer number re-distillation of FreeFlow**|Haonan Wei et.al.|[2601.11630](http://arxiv.org/abs/2601.11630)|null|
|**2026-01-13**|**Decentralized Autoregressive Generation**|Stepan Maschan et.al.|[2601.03184](http://arxiv.org/abs/2601.03184)|null|
|**2026-01-13**|**Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies**|Zeyang Li et.al.|[2601.08136](http://arxiv.org/abs/2601.08136)|null|
|**2026-01-12**|**Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation**|Nicolas Sereyjol-Garros et.al.|[2601.07692](http://arxiv.org/abs/2601.07692)|null|
|**2026-01-12**|**Land-then-transport: A Flow Matching-Based Generative Decoder for Wireless Image Transmission**|Jingwen Fu et.al.|[2601.07512](http://arxiv.org/abs/2601.07512)|null|
|**2026-01-12**|**The Limits of Complexity: Why Feature Engineering Beats Deep Learning in Investor Flow Prediction**|Sungwoo Kang et.al.|[2601.07131](http://arxiv.org/abs/2601.07131)|null|
|**2026-01-11**|**Flow Matching and Diffusion Models via PointNet for Generating Fluid Fields on Irregular Geometries**|Ali Kashefi et.al.|[2601.03030](http://arxiv.org/abs/2601.03030)|null|
|**2026-01-11**|**CrackSegFlow: Controllable Flow Matching Synthesis for Generalizable Crack Segmentation with a 50K Image-Mask Benchmark**|Babak Asadi et.al.|[2601.03637](http://arxiv.org/abs/2601.03637)|null|
|**2026-01-11**|**RenderFlow: Single-Step Neural Rendering via Flow Matching**|Shenghao Zhang et.al.|[2601.06928](http://arxiv.org/abs/2601.06928)|null|
|**2026-01-11**|**WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport**|Qiangwei Peng et.al.|[2601.06810](http://arxiv.org/abs/2601.06810)|null|
|**2026-01-09**|**TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment**|Jin Wang et.al.|[2601.05729](http://arxiv.org/abs/2601.05729)|null|
|**2026-01-09**|**TOSC: Task-Oriented Shape Completion for Open-World Dexterous Grasp Generation from Partial Point Clouds**|Weishang Wu et.al.|[2601.05499](http://arxiv.org/abs/2601.05499)|null|
|**2026-01-08**|**MM-Sonate: Multimodal Controllable Audio-Video Generation with Zero-Shot Voice Cloning**|Chunyu Qiang et.al.|[2601.01568](http://arxiv.org/abs/2601.01568)|null|
|**2026-01-08**|**FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching**|Danilo Danese et.al.|[2601.05212](http://arxiv.org/abs/2601.05212)|null|
|**2026-01-08**|**DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights**|Saumya Gupta et.al.|[2601.05052](http://arxiv.org/abs/2601.05052)|null|
|**2026-01-08**|**Surface-based Molecular Design with Multi-modal Flow Matching**|Fang Wu et.al.|[2601.04506](http://arxiv.org/abs/2601.04506)|null|
|**2026-01-08**|**Latent-Level Enhancement with Flow Matching for Robust Automatic Speech Recognition**|Da-Hee Yang et.al.|[2601.04459](http://arxiv.org/abs/2601.04459)|null|
|**2026-01-08**|**Akasha 2: Hamiltonian State Space Duality and Visual-Language Joint Embedding Predictive Architectur**|Yani Meziani et.al.|[2601.06212](http://arxiv.org/abs/2601.06212)|null|
|**2026-01-07**|**Few-Shot LoRA Adaptation of a Flow-Matching Foundation Model for Cross-Spectral Object Detection**|Maxim Clouser et.al.|[2601.04381](http://arxiv.org/abs/2601.04381)|null|
|**2026-01-06**|**XLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake Detection**|Kwok-Ho Ng et.al.|[2601.02944](http://arxiv.org/abs/2601.02944)|null|
|**2026-01-06**|**Stratified Hazard Sampling: Minimal-Variance Event Scheduling for CTMC/DTMC Discrete Diffusion and Flow Models**|Seunghwan Jang et.al.|[2601.02799](http://arxiv.org/abs/2601.02799)|null|
|**2026-01-06**|**Edit2Restore:Few-Shot Image Restoration via Parameter-Efficient Adaptation of Pre-trained Editing Models**|M. Akın Yılmaz et.al.|[2601.03391](http://arxiv.org/abs/2601.03391)|null|
|**2026-01-06**|**Channel Knowledge Map Construction via Guided Flow Matching**|Ziyu Huang et.al.|[2601.06156](http://arxiv.org/abs/2601.06156)|null|
|**2026-01-05**|**FMVP: Masked Flow Matching for Adversarial Video Purification**|Duoxun Tang et.al.|[2601.02228](http://arxiv.org/abs/2601.02228)|null|
|**2026-01-05**|**SerpentFlow: Generative Unpaired Domain Alignment via Shared-Structure Decomposition**|Julie Keisler et.al.|[2601.01979](http://arxiv.org/abs/2601.01979)|null|
|**2026-01-04**|**LEMAS: Large A 150K-Hour Large-scale Extensible Multilingual Audio Suite with Generative Speech Models**|Zhiyuan Zhao et.al.|[2601.04233](http://arxiv.org/abs/2601.04233)|null|
|**2026-01-03**|**Flow Matching Transport for Quasi-Monte Carlo Integration**|Zhijun Zeng et.al.|[2601.01072](http://arxiv.org/abs/2601.01072)|null|
|**2026-01-01**|**Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training**|Yi Liu et.al.|[2512.24125](http://arxiv.org/abs/2512.24125)|null|
|**2026-01-01**|**E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models**|Shengjun Zhang et.al.|[2601.00423](http://arxiv.org/abs/2601.00423)|null|
|**2026-01-01**|**DepFlow: Disentangled Speech Generation to Mitigate Semantic Bias in Depression Detection**|Yuxin Li et.al.|[2601.00303](http://arxiv.org/abs/2601.00303)|null|
|**2026-01-01**|**Latent Flow Matching for Expressive Singing Voice Synthesis**|Minhyeok Yun et.al.|[2601.00217](http://arxiv.org/abs/2601.00217)|null|
|**2025-12-30**|**DyStream: Streaming Dyadic Talking Heads Generation via Flow Matching-based Autoregressive Model**|Bohong Chen et.al.|[2512.24408](http://arxiv.org/abs/2512.24408)|null|
|**2025-12-30**|**Implicit geometric regularization in flow matching via density weighted Stein operators**|Shinto Eguchi et.al.|[2512.23956](http://arxiv.org/abs/2512.23956)|null|
|**2025-12-29**|**HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation**|Yuxin Wen et.al.|[2512.23464](http://arxiv.org/abs/2512.23464)|null|
|**2025-12-29**|**Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for Few-step High-Fidelity Audio Generation**|Zengwei Yao et.al.|[2512.23278](http://arxiv.org/abs/2512.23278)|null|
|**2025-12-29**|**On the Inverse Flow Matching Problem in the One-Dimensional and Gaussian Cases**|Alexander Korotin et.al.|[2512.23265](http://arxiv.org/abs/2512.23265)|null|
|**2025-12-29**|**Max-Entropy Reinforcement Learning with Flow Matching and A Case Study on LQR**|Yuyang Zhang et.al.|[2512.23870](http://arxiv.org/abs/2512.23870)|null|
|**2025-12-29**|**Flow Matching Neural Processes**|Hussen Abu Hamad et.al.|[2512.23853](http://arxiv.org/abs/2512.23853)|null|
|**2025-12-27**|**Autoregressive Flow Matching for Motion Prediction**|Johnathan Xie et.al.|[2512.22688](http://arxiv.org/abs/2512.22688)|null|
|**2025-12-27**|**Energy-Guided Flow Matching Enables Few-Step Conformer Generation and Ground-State Identification**|Guikun Xu et.al.|[2512.22597](http://arxiv.org/abs/2512.22597)|null|
|**2025-12-27**|**ManchuTTS: Towards High-Quality Manchu Speech Synthesis via Flow Matching and Hierarchical Text Representation**|Suhua Wang et.al.|[2512.22491](http://arxiv.org/abs/2512.22491)|null|
|**2025-12-26**|**Real-Time Streamable Generative Speech Restoration with Flow Matching**|Simon Welker et.al.|[2512.19442](http://arxiv.org/abs/2512.19442)|null|
|**2025-12-26**|**Robust and scalable simulation-based inference for gravitational wave signals with gaps**|Ruiting Mao et.al.|[2512.18290](http://arxiv.org/abs/2512.18290)|null|
|**2025-12-26**|**Tilt Matching for Scalable Sampling and Fine-Tuning**|Peter Potaptchik et.al.|[2512.21829](http://arxiv.org/abs/2512.21829)|null|
|**2025-12-26**|**DeFloMat: Detection with Flow Matching for Stable and Efficient Generative Object Localization**|Hansang Lee et.al.|[2512.22406](http://arxiv.org/abs/2512.22406)|null|
|**2025-12-26**|**Self-Evaluation Unlocks Any-Step Text-to-Image Generation**|Xin Yu et.al.|[2512.22374](http://arxiv.org/abs/2512.22374)|null|
|**2025-12-25**|**Human-Aligned Generative Perception: Bridging Psychophysics and Generative Models**|Antara Titikhsha et.al.|[2512.22272](http://arxiv.org/abs/2512.22272)|null|
|**2025-12-24**|**Learning from Next-Frame Prediction: Autoregressive Video Modeling Encodes Effective Representations**|Jinghan Li et.al.|[2512.21004](http://arxiv.org/abs/2512.21004)|null|
|**2025-12-24**|**PUFM++: Point Cloud Upsampling via Enhanced Flow Matching**|Zhi-Song Liu et.al.|[2512.20988](http://arxiv.org/abs/2512.20988)|null|
|**2025-12-23**|**LP-CFM: Perceptual Invariance-Aware Conditional Flow Matching for Speech Modeling**|Doyeop Kwak et.al.|[2512.20314](http://arxiv.org/abs/2512.20314)|null|
|**2025-12-23**|**Discovering Lie Groups with Flow Matching**|Jung Yeon Park et.al.|[2512.20043](http://arxiv.org/abs/2512.20043)|null|
|**2025-12-23**|**FlashLips: 100-FPS Mask-Free Latent Lip-Sync using Reconstruction Instead of Diffusion or GANs**|Andreas Zinonos et.al.|[2512.20033](http://arxiv.org/abs/2512.20033)|null|
|**2025-12-22**|**Diffusion Models in Simulation-Based Inference: A Tutorial Review**|Jonas Arruda et.al.|[2512.20685](http://arxiv.org/abs/2512.20685)|null|
|**2025-12-21**|**MeanFlow-TSE: One-Step Generative Target Speaker Extraction with Mean Flow**|Riki Shimizu et.al.|[2512.18572](http://arxiv.org/abs/2512.18572)|null|
|**2025-12-20**|**Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching**|Junho Lee et.al.|[2512.18184](http://arxiv.org/abs/2512.18184)|null|
|**2025-12-19**|**mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs**|Jonas Pai et.al.|[2512.15692](http://arxiv.org/abs/2512.15692)|null|
|**2025-12-19**|**UPMRI: Unsupervised Parallel MRI Reconstruction via Projected Conditional Flow Matching**|Xinzhe Luo et.al.|[2512.17493](http://arxiv.org/abs/2512.17493)|null|
|**2025-12-19**|**EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance**|Ankit Yadav et.al.|[2512.17303](http://arxiv.org/abs/2512.17303)|null|
|**2025-12-19**|**Robust TTS Training via Self-Purifying Flow Matching for the WildSpoof 2026 TTS Track**|June Young Yi et.al.|[2512.17293](http://arxiv.org/abs/2512.17293)|null|
|**2025-12-19**|**SAM Audio: Segment Anything in Audio**|Bowen Shi et.al.|[2512.18099](http://arxiv.org/abs/2512.18099)|null|
|**2025-12-18**|**FlowDet: Unifying Object Detection and Generative Transport Flows**|Enis Baty et.al.|[2512.16771](http://arxiv.org/abs/2512.16771)|null|
|**2025-12-18**|**On The Hidden Biases of Flow Matching Samplers**|Soon Hoe Lim et.al.|[2512.16768](http://arxiv.org/abs/2512.16768)|null|
|**2025-12-18**|**Task-Oriented Data Synthesis and Control-Rectify Sampling for Remote Sensing Semantic Segmentation**|Yunkai Yang et.al.|[2512.16740](http://arxiv.org/abs/2512.16740)|null|
|**2025-12-18**|**Riemannian Stochastic Interpolants for Amorphous Particle Systems**|Louis Grenioux et.al.|[2512.16607](http://arxiv.org/abs/2512.16607)|null|
|**2025-12-18**|**CogSR: Semantic-Aware Speech Super-Resolution via Chain-of-Thought Guided Flow Matching**|Jiajun Yuan et.al.|[2512.16304](http://arxiv.org/abs/2512.16304)|null|
|**2025-12-18**|**Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving**|Jiaheng Geng et.al.|[2512.16055](http://arxiv.org/abs/2512.16055)|null|
|**2025-12-17**|**RecTok: Reconstruction Distillation along Rectified Flow**|Qingyu Shi et.al.|[2512.13421](http://arxiv.org/abs/2512.13421)|null|
|**2025-12-17**|**SoFlow: Solution Flow Models for One-Step Generative Modeling**|Tianze Luo et.al.|[2512.15657](http://arxiv.org/abs/2512.15657)|null|
|**2025-12-17**|**FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows**|Yeonwoo Cha et.al.|[2512.15420](http://arxiv.org/abs/2512.15420)|null|
|**2025-12-17**|**SuperFlow: Training Flow Matching Models with RL on the Fly**|Kaijie Chen et.al.|[2512.17951](http://arxiv.org/abs/2512.17951)|null|
|**2025-12-16**|**Flow matching Operators for Residual-Augmented Probabilistic Learning of Partial Differential Equations**|Sahil Bhola et.al.|[2512.12749](http://arxiv.org/abs/2512.12749)|null|
|**2025-12-16**|**Native and Compact Structured Latents for 3D Generation**|Jianfeng Xiang et.al.|[2512.14692](http://arxiv.org/abs/2512.14692)|null|
|**2025-12-16**|**Adapting Speech Language Model to Singing Voice Synthesis**|Yiwen Zhao et.al.|[2512.14657](http://arxiv.org/abs/2512.14657)|null|
|**2025-12-16**|**FacEDiT: Unified Talking Face Editing and Generation via Facial Motion Infilling**|Kim Sung-Bin et.al.|[2512.14056](http://arxiv.org/abs/2512.14056)|null|
|**2025-12-16**|**Generative Monte Carlo Sampling for Constant-Cost Particle Transport**|Joseph A. Farmer et.al.|[2512.13965](http://arxiv.org/abs/2512.13965)|null|
|**2025-12-15**|**Feedforward 3D Editing via Text-Steerable Image-to-3D**|Ziqi Ma et.al.|[2512.13678](http://arxiv.org/abs/2512.13678)|null|
|**2025-12-15**|**PrediFlow: A Flow-Based Prediction-Refinement Framework for Real-Time Human Motion Prediction in Human-Robot Collaboration**|Sibo Tian et.al.|[2512.13903](http://arxiv.org/abs/2512.13903)|null|
|**2025-12-14**|**Schrodinger Audio-Visual Editor: Object-Level Audiovisual Removal**|Weihan Xu et.al.|[2512.12875](http://arxiv.org/abs/2512.12875)|null|
|**2025-12-14**|**On the continuity of flows**|Congzhou M Sha et.al.|[2512.12821](http://arxiv.org/abs/2512.12821)|null|
|**2025-12-14**|**On Approaches to Building Surrogate ODE Models for Diffusion Bridges**|Maria Khilchuk et.al.|[2512.12671](http://arxiv.org/abs/2512.12671)|null|
|**2025-12-13**|**Repulsor: Accelerating Generative Modeling with a Contrastive Memory Bank**|Shaofeng Zhang et.al.|[2512.08648](http://arxiv.org/abs/2512.08648)|null|
|**2025-12-13**|**Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation**|Hao Chen et.al.|[2512.09185](http://arxiv.org/abs/2512.09185)|null|
|**2025-12-13**|**Exploring the Design Space of Transition Matching**|Uriel Singer et.al.|[2512.12465](http://arxiv.org/abs/2512.12465)|null|
|**2025-12-13**|**Anchoring Values in Temporal and Group Dimensions for Flow Matching Model Alignment**|Yawen Shao et.al.|[2512.12387](http://arxiv.org/abs/2512.12387)|null|
|**2025-12-13**|**MolGuidance: Advanced Guidance Strategies for Conditional Molecular Generation with Flow Matching**|Jirui Jin et.al.|[2512.12198](http://arxiv.org/abs/2512.12198)|null|
|**2025-12-12**|**MR-FlowDPO: Multi-Reward Direct Preference Optimization for Flow-Matching Text-to-Music Generation**|Alon Ziv et.al.|[2512.10264](http://arxiv.org/abs/2512.10264)|null|
|**2025-12-12**|**Flowception: Temporally Expansive Flow Matching for Video Generation**|Tariq Berrada Ifriqi et.al.|[2512.11438](http://arxiv.org/abs/2512.11438)|null|
|**2025-12-12**|**FlowDC: Flow-Based Decoupling-Decay for Complex Image Editing**|Yilei Jiang et.al.|[2512.11395](http://arxiv.org/abs/2512.11395)|null|
|**2025-12-12**|**VFMF: World Modeling by Forecasting Vision Foundation Model Features**|Gabrijel Boduljak et.al.|[2512.11225](http://arxiv.org/abs/2512.11225)|null|
|**2025-12-12**|**BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models**|Ryan Po et.al.|[2512.12080](http://arxiv.org/abs/2512.12080)|null|
|**2025-12-11**|**WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving**|Yifang Xu et.al.|[2512.06112](http://arxiv.org/abs/2512.06112)|null|
|**2025-12-11**|**Investigating training objective for flow matching-based speech enhancement**|Liusha Yang et.al.|[2512.10382](http://arxiv.org/abs/2512.10382)|null|
|**2025-12-11**|**Refining Graphical Neural Network Predictions Using Flow Matching for Optimal Power Flow with Constraint-Satisfaction Guarantee**|Kshitiz Khanal et.al.|[2512.11127](http://arxiv.org/abs/2512.11127)|null|
|**2025-12-10**|**FALCON: Few-step Accurate Likelihoods for Continuous Flows**|Danyal Rehman et.al.|[2512.09914](http://arxiv.org/abs/2512.09914)|null|
|**2025-12-09**|**Learning Robot Manipulation from Audio World Models**|Fan Zhang et.al.|[2512.08405](http://arxiv.org/abs/2512.08405)|null|
|**2025-12-09**|**Dflow-SUR: Enhancing Generative Aerodynamic Inverse Design using Differentiation Throughout Flow Matching**|Aobo Yang et.al.|[2512.08336](http://arxiv.org/abs/2512.08336)|null|
|**2025-12-08**|**TV2TV: A Unified Framework for Interleaved Language and Video Generation**|Xiaochuang Han et.al.|[2512.05103](http://arxiv.org/abs/2512.05103)|null|
|**2025-12-07**|**Task adaptation of Vision-Language-Action model: 1st Place Solution for the 2025 BEHAVIOR Challenge**|Ilia Larchenko et.al.|[2512.06951](http://arxiv.org/abs/2512.06951)|null|
|**2025-12-04**|**Value Gradient Guidance for Flow Matching Alignment**|Zhen Liu et.al.|[2512.05116](http://arxiv.org/abs/2512.05116)|null|
|**2025-12-04**|**OMTRA: A Multi-Task Generative Model for Structure-Based Drug Design**|Ian Dunn et.al.|[2512.05080](http://arxiv.org/abs/2512.05080)|null|
|**2025-12-04**|**Improving Posterior Inference of Galaxy Properties with Image-Based Conditional Flow Matching**|Mikaeel Yunus et.al.|[2512.05078](http://arxiv.org/abs/2512.05078)|null|
|**2025-12-04**|**Generative Neural Video Compression via Video Diffusion Prior**|Qi Mao et.al.|[2512.05016](http://arxiv.org/abs/2512.05016)|null|
|**2025-12-04**|**Multipole decomposition of the gravitational field of a point mass at the black hole horizon**|João P. B. Brito et.al.|[2512.04976](http://arxiv.org/abs/2512.04976)|null|
|**2025-12-04**|**Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels**|Guangming Liang et.al.|[2512.04966](http://arxiv.org/abs/2512.04966)|null|
|**2025-12-04**|**Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows**|Rajneil Baruah et.al.|[2512.04954](http://arxiv.org/abs/2512.04954)|null|
|**2025-12-04**|**ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching**|Guanbo Huang et.al.|[2512.04904](http://arxiv.org/abs/2512.04904)|null|
|**2025-12-04**|**SDG-Track: A Heterogeneous Observer-Follower Framework for High-Resolution UAV Tracking on Embedded Platforms**|Jiawen Wen et.al.|[2512.04883](http://arxiv.org/abs/2512.04883)|null|
|**2025-12-04**|**LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation**|Huynh Trinh Ngoc et.al.|[2512.04821](http://arxiv.org/abs/2512.04821)|null|
|**2025-12-04**|**YingMusic-SVC: Real-World Robust Zero-Shot Singing Voice Conversion with Flow-GRPO and Singing-Specific Inductive Biases**|Gongyu Chen et.al.|[2512.04793](http://arxiv.org/abs/2512.04793)|null|
|**2025-12-04**|**Towards an AI Fluid Scientist: LLM-Powered Scientific Discovery in Experimental Fluid Mechanics**|Haodong Feng et.al.|[2512.04716](http://arxiv.org/abs/2512.04716)|null|
|**2025-12-04**|**Flux-controlled wall model for large eddy simulation integrating the compressible law of the wall**|Youjie Xu et.al.|[2512.04688](http://arxiv.org/abs/2512.04688)|null|
|**2025-12-04**|**FX Market Making with Internal Liquidity**|Alexander Barzykin et.al.|[2512.04603](http://arxiv.org/abs/2512.04603)|null|
|**2025-12-04**|**The dynamical memory of tidal stellar streams: Joint inference of the Galactic potential and the progenitor of GD-1 with flow matching**|Giuseppe Viterbo et.al.|[2512.04600](http://arxiv.org/abs/2512.04600)|null|
|**2025-12-04**|**Completion by Comprehension: Guiding Code Generation with Multi-Granularity Understanding**|Xinkui Zhao et.al.|[2512.04538](http://arxiv.org/abs/2512.04538)|null|
|**2025-12-04**|**UniTS: Unified Time Series Generative Model for Remote Sensing**|Yuxiang Zhang et.al.|[2512.04461](http://arxiv.org/abs/2512.04461)|null|
|**2025-12-04**|**ELG $\times$ LRG distribution through dark matter halo dynamics**|Ginevra Favole et.al.|[2512.04362](http://arxiv.org/abs/2512.04362)|null|
|**2025-12-04**|**MAFNet:Multi-frequency Adaptive Fusion Network for Real-time Stereo Matching**|Ao Xu et.al.|[2512.04358](http://arxiv.org/abs/2512.04358)|null|
|**2025-12-04**|**Uncertainty Quantification for Scientific Machine Learning using Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN)**|Y. Sungtaek Ju et.al.|[2512.05306](http://arxiv.org/abs/2512.05306)|null|
|**2025-12-04**|**CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators**|Xianglong Hou et.al.|[2512.05297](http://arxiv.org/abs/2512.05297)|null|
|**2025-12-03**|**Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning**|Franki Nguimatsia Tiofack et.al.|[2512.03973](http://arxiv.org/abs/2512.03973)|null|
|**2025-12-03**|**Generalization Evaluation of Deep Stereo Matching Methods for UAV-Based Forestry Applications**|Yida Lin et.al.|[2512.03427](http://arxiv.org/abs/2512.03427)|null|
|**2025-12-03**|**Plug-and-Play Image Restoration with Flow Matching: A Continuous Viewpoint**|Fan Jia et.al.|[2512.04283](http://arxiv.org/abs/2512.04283)|null|
|**2025-12-03**|**TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows**|Zhenglin Cheng et.al.|[2512.05150](http://arxiv.org/abs/2512.05150)|null|
|**2025-12-02**|**ViSAudio: End-to-End Video-Driven Binaural Spatial Audio Generation**|Mengchen Zhang et.al.|[2512.03036](http://arxiv.org/abs/2512.03036)|null|
|**2025-12-02**|**Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach**|Siyuan Yang et.al.|[2512.02834](http://arxiv.org/abs/2512.02834)|null|
|**2025-12-02**|**From Navigation to Refinement: Revealing the Two-Stage Nature of Flow-based Diffusion Models through Oracle Velocity**|Haoming Liu et.al.|[2512.02826](http://arxiv.org/abs/2512.02826)|null|
|**2025-12-02**|**GoRL: An Algorithm-Agnostic Framework for Online Reinforcement Learning with Generative Policies**|Chubin Zhang et.al.|[2512.02581](http://arxiv.org/abs/2512.02581)|null|
|**2025-12-02**|**Integrated Sliding-Short/Probe Tuner with Doorknob Transition for High-Q Cavities**|Saptarshi Biswas et.al.|[2512.02415](http://arxiv.org/abs/2512.02415)|null|
|**2025-12-02**|**Training Dynamics of Learning 3D-Rotational Equivariance**|Max W. Shen et.al.|[2512.02303](http://arxiv.org/abs/2512.02303)|null|
|**2025-12-02**|**Energy Reflection and Transmission of Interfaces in $T\bar{T}$ -deformed CFT**|Avik Banerjee et.al.|[2512.03167](http://arxiv.org/abs/2512.03167)|null|
|**2025-12-01**|**EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI**|Jianlei Chang et.al.|[2512.02020](http://arxiv.org/abs/2512.02020)|null|
|**2025-12-01**|**Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching**|Yue Pan et.al.|[2512.01850](http://arxiv.org/abs/2512.01850)|null|
|**2025-12-01**|**Much Ado About Noising: Dispelling the Myths of Generative Robotic Control**|Chaoyi Pan et.al.|[2512.01809](http://arxiv.org/abs/2512.01809)|null|
|**2025-12-01**|**DiG-Flow: Discrepancy-Guided Flow Matching for Robust VLA Models**|Wanpeng Zhang et.al.|[2512.01715](http://arxiv.org/abs/2512.01715)|null|
|**2025-12-01**|**Mixing asymptotics for time-changes of horocycle flows**|Davide Ravotti et.al.|[2512.01488](http://arxiv.org/abs/2512.01488)|null|
|**2025-12-01**|**Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching**|Mudit Gaur et.al.|[2512.01286](http://arxiv.org/abs/2512.01286)|null|
|**2025-12-01**|**High-dimensional Mean-Field Games by Particle-based Flow Matching**|Jiajia Yu et.al.|[2512.01172](http://arxiv.org/abs/2512.01172)|null|
|**2025-12-01**|**Spatiotemporal Pyramid Flow Matching for Climate Emulation**|Jeremy Andrew Irvin et.al.|[2512.02268](http://arxiv.org/abs/2512.02268)|null|
|**2025-11-30**|**Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model**|Jing He et.al.|[2512.01030](http://arxiv.org/abs/2512.01030)|null|
|**2025-11-30**|**Flow Matching for Tabular Data Synthesis**|Bahrul Ilmi Nasution et.al.|[2512.00698](http://arxiv.org/abs/2512.00698)|null|
|**2025-11-29**|**RECTor: Robust and Efficient Correlation Attack on Tor**|Binghui Wu et.al.|[2512.00436](http://arxiv.org/abs/2512.00436)|null|
|**2025-11-29**|**Recovering Origin Destination Flows from Bus CCTV: Early Results from Nairobi and Kigali**|Nthenya Kyatha et.al.|[2512.00424](http://arxiv.org/abs/2512.00424)|null|
|**2025-11-29**|**PhysGen: Physically Grounded 3D Shape Generation for Industrial Design**|Yingxuan You et.al.|[2512.00422](http://arxiv.org/abs/2512.00422)|null|
|**2025-11-28**|**Convergence rates of self-repellent random walks, their local time and Event Chain Monte Carlo**|Andreas Eberle et.al.|[2511.23453](http://arxiv.org/abs/2511.23453)|null|
|**2025-11-28**|**Convergence rates of self-repelling diffusions on Riemannian manifolds**|Francis Lörler et.al.|[2511.23333](http://arxiv.org/abs/2511.23333)|null|
|**2025-11-28**|**Chiral Particles in Taylor-Couette Turbulence**|Mees M. Flapper et.al.|[2511.23279](http://arxiv.org/abs/2511.23279)|null|
|**2025-11-28**|**SlotFlow: Amortized Trans-Dimensional Inference with Slot-Based Normalizing Flows**|Niklas Houba et.al.|[2511.23228](http://arxiv.org/abs/2511.23228)|null|
|**2025-11-28**|**Geodiffussr: Generative Terrain Texturing with Elevation Fidelity**|Tai Inui et.al.|[2511.23029](http://arxiv.org/abs/2511.23029)|null|
|**2025-11-27**|**Adversarial Flow Models**|Shanchuan Lin et.al.|[2511.22475](http://arxiv.org/abs/2511.22475)|null|
|**2025-11-27**|**Gaussians on Fire: High-Frequency Reconstruction of Flames**|Jakob Nazarenus et.al.|[2511.22459](http://arxiv.org/abs/2511.22459)|null|
|**2025-11-27**|**Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models**|Minghao Yin et.al.|[2511.22425](http://arxiv.org/abs/2511.22425)|null|
|**2025-11-27**|**MATCH: Engineering Transparent and Controllable Conversational XAI Systems through Composable Building Blocks**|Sebe Vanbrabant et.al.|[2511.22420](http://arxiv.org/abs/2511.22420)|null|
|**2025-11-27**|**A Bio-Inspired Whisker Sensor toward Underwater Flow Sensing in Darkness and Turbidity**|Zheyi Hang et.al.|[2511.22353](http://arxiv.org/abs/2511.22353)|null|
|**2025-11-27**|**Toward Diffusible High-Dimensional Latent Spaces: A Frequency Perspective**|Bolin Lai et.al.|[2511.22249](http://arxiv.org/abs/2511.22249)|null|
|**2025-11-27**|**IMTalker: Efficient Audio-driven Talking Face Generation with Implicit Motion Transfer**|Bo Chen et.al.|[2511.22167](http://arxiv.org/abs/2511.22167)|null|
|**2025-11-27**|**StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation**|Sen Fang et.al.|[2511.22009](http://arxiv.org/abs/2511.22009)|null|
|**2025-11-26**|**STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows**|Jiatao Gu et.al.|[2511.20462](http://arxiv.org/abs/2511.20462)|null|
|**2025-11-26**|**Restora-Flow: Mask-Guided Image Restoration with Flow Matching**|Arnela Hadzic et.al.|[2511.20152](http://arxiv.org/abs/2511.20152)|null|
|**2025-11-26**|**MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training**|Haotian Xue et.al.|[2511.21592](http://arxiv.org/abs/2511.21592)|null|
|**2025-11-26**|**E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework**|Adeela Islam et.al.|[2511.21422](http://arxiv.org/abs/2511.21422)|null|
|**2025-11-26**|**Multi-Reward GRPO for Stable and Prosodic Single-Codebook TTS LLMs at Scale**|Yicheng Zhong et.al.|[2511.21270](http://arxiv.org/abs/2511.21270)|null|
|**2025-11-26**|**From Diffusion to One-Step Generation: A Comparative Study of Flow-Based Models with Application to Image Inpainting**|Umang Agarwal et.al.|[2511.21215](http://arxiv.org/abs/2511.21215)|null|
|**2025-11-26**|**Deep Parameter Interpolation for Scalar Conditioning**|Chicago Y. Park et.al.|[2511.21028](http://arxiv.org/abs/2511.21028)|null|
|**2025-11-26**|**Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional Training**|Eric Yeats et.al.|[2511.21863](http://arxiv.org/abs/2511.21863)|null|
|**2025-11-25**|**Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning**|Guanjie Chen et.al.|[2511.20549](http://arxiv.org/abs/2511.20549)|null|
|**2025-11-25**|**Rectified Flow for Vision-Aided mmWave V2I Beam Prediction**|Can Zheng et.al.|[2511.20265](http://arxiv.org/abs/2511.20265)|null|
|**2025-11-25**|**MFM-point: Multi-scale Flow Matching for Point Cloud Generation**|Petr Molodyk et.al.|[2511.20041](http://arxiv.org/abs/2511.20041)|null|
|**2025-11-25**|**Bistability of interfacial long waves in two layer Couette flow**|Xingyu Wang et.al.|[2511.20880](http://arxiv.org/abs/2511.20880)|null|
|**2025-11-25**|**A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation**|Hossein Shokouhinejad et.al.|[2511.20801](http://arxiv.org/abs/2511.20801)|null|
|**2025-11-25**|**From Observations to Simulations: A Neural-Network Approach to Intracluster Medium Kinematics**|E. Gatuzz et.al.|[2511.20755](http://arxiv.org/abs/2511.20755)|null|
|**2025-11-24**|**Efficiency vs. Fidelity: A Comparative Analysis of Diffusion Probabilistic Models and Flow Matching on Low-Resource Hardware**|Srishti Gupta et.al.|[2511.19379](http://arxiv.org/abs/2511.19379)|null|
|**2025-11-24**|**DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation**|Zehong Ma et.al.|[2511.19365](http://arxiv.org/abs/2511.19365)|null|
|**2025-11-24**|**SENTINEL: A Fully End-to-End Language-Action Model for Humanoid Whole Body Control**|Yuxuan Wang et.al.|[2511.19236](http://arxiv.org/abs/2511.19236)|null|
|**2025-11-24**|**EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching**|Ziyun Li et.al.|[2511.19087](http://arxiv.org/abs/2511.19087)|null|
|**2025-11-24**|**VeCoR - Velocity Contrastive Regularization for Flow Matching**|Zong-Wei Hong et.al.|[2511.18942](http://arxiv.org/abs/2511.18942)|null|
|**2025-11-24**|**FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories**|Lei Ke et.al.|[2511.18834](http://arxiv.org/abs/2511.18834)|null|
|**2025-11-24**|**GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving**|Lin Liu et.al.|[2511.18729](http://arxiv.org/abs/2511.18729)|null|
|**2025-11-24**|**Terminal Velocity Matching**|Linqi Zhou et.al.|[2511.19797](http://arxiv.org/abs/2511.19797)|null|
|**2025-11-24**|**Efficient Transferable Optimal Transport via Min-Sliced Transport Plans**|Xinran Liu et.al.|[2511.19741](http://arxiv.org/abs/2511.19741)|null|
|**2025-11-23**|**MammothModa2: A Unified AR-Diffusion Framework for Multimodal Understanding and Generation**|Tao Shen et.al.|[2511.18262](http://arxiv.org/abs/2511.18262)|null|
|**2025-11-22**|**Hybrid RANS-LES simulation of transverse fuel injection in a Mach-10 scramjet engine**|Nick Plewacki et.al.|[2511.18210](http://arxiv.org/abs/2511.18210)|null|
|**2025-11-22**|**Early Lung Cancer Diagnosis from Virtual Follow-up LDCT Generation via Correlational Autoencoder and Latent Flow Matching**|Yutong Wu et.al.|[2511.18185](http://arxiv.org/abs/2511.18185)|null|
|**2025-11-22**|**Video4Edit: Viewing Image Editing as a Degenerate Temporal Process**|Xiaofan Li et.al.|[2511.18131](http://arxiv.org/abs/2511.18131)|null|
|**2025-11-22**|**L1 Sample Flow for Efficient Visuomotor Learning**|Weixi Song et.al.|[2511.17898](http://arxiv.org/abs/2511.17898)|null|
|**2025-11-22**|**ArticFlow: Generative Simulation of Articulated Mechanisms**|Jiong Lin et.al.|[2511.17883](http://arxiv.org/abs/2511.17883)|null|
|**2025-11-22**|**Modeling and Calibration of Supplier Selection Problem in Freight Agent-Based Simulations**|Abdelrahman Ismael et.al.|[2511.17875](http://arxiv.org/abs/2511.17875)|null|
|**2025-11-21**|**FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble**|Riccardo Tedoldi et.al.|[2511.17249](http://arxiv.org/abs/2511.17249)|null|
|**2025-11-21**|**Generating transition states of chemical reactions via distance-geometry-based flow matching**|Yufei Luo et.al.|[2511.17229](http://arxiv.org/abs/2511.17229)|null|
|**2025-11-21**|**Short-flow-time expansion of non-singlet twist-two operators at next-to-next-to-leading order QCD**|Robert V. Harlander et.al.|[2511.17145](http://arxiv.org/abs/2511.17145)|null|
|**2025-11-21**|**Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models**|Dailan He et.al.|[2511.16955](http://arxiv.org/abs/2511.16955)|null|
|**2025-11-21**|**Importance-Weighted Non-IID Sampling for Flow Matching Models**|Xinshuang Liu et.al.|[2511.17812](http://arxiv.org/abs/2511.17812)|null|
|**2025-11-21**|**Periodicity-Enforced Neural Network for Designing Deterministic Lateral Displacement Devices**|Andrew Lee et.al.|[2511.17754](http://arxiv.org/abs/2511.17754)|null|
|**2025-11-20**|**Time dependent loss reweighting for flow matching and diffusion models is theoretically justified**|Lukas Billera et.al.|[2511.16599](http://arxiv.org/abs/2511.16599)|null|
|**2025-11-20**|**Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based Diffusion**|Md. Tawfique Ihsan et.al.|[2511.16571](http://arxiv.org/abs/2511.16571)|null|
|**2025-11-20**|**Saving Foundation Flow-Matching Priors for Inverse Problems**|Yuxiang Wan et.al.|[2511.16520](http://arxiv.org/abs/2511.16520)|null|
|**2025-11-20**|**FreqFlow: Long-term forecasting using lightweight flow matching**|Seyed Mohamad Moghadas et.al.|[2511.16426](http://arxiv.org/abs/2511.16426)|null|
|**2025-11-20**|**LAOF: Robust Latent Action Learning with Optical Flow Constraints**|Xizhou Bu et.al.|[2511.16407](http://arxiv.org/abs/2511.16407)|null|
|**2025-11-19**|**Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks**|Hao Qian et.al.|[2511.14516](http://arxiv.org/abs/2511.14516)|null|
|**2025-11-19**|**In-N-On: Scaling Egocentric Manipulation with in-the-wild and on-task Data**|Xiongyi Cai et.al.|[2511.15704](http://arxiv.org/abs/2511.15704)|null|
|**2025-11-19**|**What Your Features Reveal: Data-Efficient Black-Box Feature Inversion Attack for Split DNNs**|Zhihan Ren et.al.|[2511.15316](http://arxiv.org/abs/2511.15316)|null|
|**2025-11-19**|**Thermalizing channel states for rapid qubit heating**|Ziyang You et.al.|[2511.15314](http://arxiv.org/abs/2511.15314)|null|
|**2025-11-19**|**BokehFlow: Depth-Free Controllable Bokeh Rendering via Flow Matching**|Yachuan Huang et.al.|[2511.15066](http://arxiv.org/abs/2511.15066)|null|
|**2025-11-19**|**AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture**|Qiming Guo et.al.|[2511.15870](http://arxiv.org/abs/2511.15870)|null|
|**2025-11-18**|**ApexGen: Simultaneous design of peptide binder sequence and structure for target proteins**|Xiaoqiong Xia et.al.|[2511.14663](http://arxiv.org/abs/2511.14663)|null|
|**2025-11-18**|**NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards**|Chia-Yu Hung et.al.|[2511.14659](http://arxiv.org/abs/2511.14659)|null|
|**2025-11-18**|**3D-Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology**|Mohammad Vali Sanian et.al.|[2511.14613](http://arxiv.org/abs/2511.14613)|null|
|**2025-11-18**|**Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching**|Jintao Zhang et.al.|[2511.14488](http://arxiv.org/abs/2511.14488)|null|
|**2025-11-18**|**FlowRoI A Fast Optical Flow Driven Region of Interest Extraction Framework for High-Throughput Image Compression in Immune Cell Migration Analysis**|Xiaowei Xu et.al.|[2511.14419](http://arxiv.org/abs/2511.14419)|null|
|**2025-11-18**|**On the impact of the supernova subsamples in reducing the Hubble tension**|Gonçalo Martins et.al.|[2511.14332](http://arxiv.org/abs/2511.14332)|null|
|**2025-11-18**|**AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models**|Yuhua Jiang et.al.|[2511.14148](http://arxiv.org/abs/2511.14148)|null|
|**2025-11-17**|**Laminar boundary layers over small-scale textured surfaces**|Samuel D. Tomlinson et.al.|[2511.11471](http://arxiv.org/abs/2511.11471)|null|
|**2025-11-17**|**Arcee: Differentiable Recurrent State Chain for Generative Vision Modeling with Mamba SSMs**|Jitesh Chavan et.al.|[2511.11243](http://arxiv.org/abs/2511.11243)|null|
|**2025-11-17**|**FUSE: A Flow-based Mapping Between Shapes**|Lorenzo Olearo et.al.|[2511.13431](http://arxiv.org/abs/2511.13431)|null|
|**2025-11-17**|**GenTract: Generative Global Tractography**|Alec Sargood et.al.|[2511.13183](http://arxiv.org/abs/2511.13183)|null|
|**2025-11-17**|**SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR-Optical Registration**|Haodong Wang et.al.|[2511.13168](http://arxiv.org/abs/2511.13168)|null|
|**2025-11-17**|**MeanFlow Transformers with Representation Autoencoders**|Zheyuan Hu et.al.|[2511.13019](http://arxiv.org/abs/2511.13019)|null|
|**2025-11-17**|**Functional Mean Flow in Hilbert Space**|Zhiqi Li et.al.|[2511.12898](http://arxiv.org/abs/2511.12898)|null|
|**2025-11-17**|**Dynamical behavior of compound vesicles in wall-bounded shear flow**|A. Lamura et.al.|[2511.13923](http://arxiv.org/abs/2511.13923)|null|
|**2025-11-17**|**FusionFM: All-in-One Multi-Modal Image Fusion with Flow Matching**|Huayi Zhu et.al.|[2511.13794](http://arxiv.org/abs/2511.13794)|null|
|**2025-11-17**|**Fully Differentiable dMRI Streamline Propagation in PyTorch**|Jongyeon Yoon et.al.|[2511.14807](http://arxiv.org/abs/2511.14807)|null|
|**2025-11-16**|**From Images to Physics: Probabilistic Inference of Galaxy Parameters and Emission Lines via VAE & Normalizing Flows**|Adiba Amira Siddiqa et.al.|[2511.12737](http://arxiv.org/abs/2511.12737)|null|
|**2025-11-16**|**Dynamical Tidal Response of Non-rotating Black Holes: Connecting the MST Formalism and Worldline EFT**|Hajime Kobayashi et.al.|[2511.12580](http://arxiv.org/abs/2511.12580)|null|
|**2025-11-16**|**MFI-ResNet: Efficient ResNet Architecture Optimization via MeanFlow Compression and Selective Incubation**|Nuolin Sun et.al.|[2511.12422](http://arxiv.org/abs/2511.12422)|null|
|**2025-11-16**|**Modeling Fairness in Recruitment AI via Information Flow**|Mattias Brännström et.al.|[2511.13793](http://arxiv.org/abs/2511.13793)|null|
|**2025-11-14**|**Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL**|Qifeng Cai et.al.|[2511.10192](http://arxiv.org/abs/2511.10192)|null|
|**2025-11-14**|**Scalable Coverage Trajectory Synthesis on GPUs as Statistical Inference**|Max M. Sun et.al.|[2511.11514](http://arxiv.org/abs/2511.11514)|null|
|**2025-11-14**|**Vortex breakdown and its topologies in turbulent flows within a typical swirl combustor geometry**|Nitesh Kumar Sahu et.al.|[2511.11420](http://arxiv.org/abs/2511.11420)|null|
|**2025-11-14**|**Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching**|Dara Varam et.al.|[2511.11418](http://arxiv.org/abs/2511.11418)|null|
|**2025-11-14**|**Parameter-Efficient MoE LoRA for Few-Shot Multi-Style Editing**|Cong Cao et.al.|[2511.11236](http://arxiv.org/abs/2511.11236)|null|
|**2025-11-14**|**Flow matching-based generative models for MIMO channel estimation**|Wenkai Liu et.al.|[2511.10941](http://arxiv.org/abs/2511.10941)|null|
|**2025-11-14**|**Collaborative Multi-Robot Non-Prehensile Manipulation via Flow-Matching Co-Generation**|Yorai Shaoul et.al.|[2511.10874](http://arxiv.org/abs/2511.10874)|null|
|**2025-11-13**|**Omnidirectional type inference for ML: principality any way**|Alistair O'Brien et.al.|[2511.10343](http://arxiv.org/abs/2511.10343)|null|
|**2025-11-13**|**VocalNet-M2: Advancing Low-Latency Spoken Language Modeling via Integrated Multi-Codebook Tokenization and Multi-Token Prediction**|Yuhao Wang et.al.|[2511.10232](http://arxiv.org/abs/2511.10232)|null|
|**2025-11-13**|**Time-Layer Adaptive Alignment for Speaker Similarity in Flow-Matching Based Zero-Shot TTS**|Haoyu Li et.al.|[2511.09995](http://arxiv.org/abs/2511.09995)|null|
|**2025-11-13**|**Curved Worlds, Clear Boundaries: Generalizing Speech Deepfake Detection using Hyperbolic and Spherical Geometry Spaces**|Farhan Sheth et.al.|[2511.10793](http://arxiv.org/abs/2511.10793)|null|
|**2025-11-13**|**Diffusion Models: A Mathematical Introduction**|Sepehr Maleki et.al.|[2511.11746](http://arxiv.org/abs/2511.11746)|null|
|**2025-11-12**|**FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching**|Bernardo Perrone Ribeiro et.al.|[2511.09731](http://arxiv.org/abs/2511.09731)|null|
|**2025-11-12**|**Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions**|Hedwig Nora Nordlinder et.al.|[2511.09465](http://arxiv.org/abs/2511.09465)|null|
|**2025-11-12**|**What We Don't C: Representations for scientific discovery beyond VAEs**|Brian Rogers et.al.|[2511.09433](http://arxiv.org/abs/2511.09433)|null|
|**2025-11-12**|**Learning by Neighbor-Aware Semantics, Deciding by Open-form Flows: Towards Robust Zero-Shot Skeleton Action Recognition**|Yang Chen et.al.|[2511.09388](http://arxiv.org/abs/2511.09388)|null|
|**2025-11-12**|**4KDehazeFlow: Ultra-High-Definition Image Dehazing via Flow Matching**|Xingchi Chen et.al.|[2511.09055](http://arxiv.org/abs/2511.09055)|null|
|**2025-11-11**|**FMMI: Flow Matching Mutual Information Estimation**|Ivan Butakov et.al.|[2511.08552](http://arxiv.org/abs/2511.08552)|null|
|**2025-11-11**|**HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization**|Zeyang Li et.al.|[2511.08425](http://arxiv.org/abs/2511.08425)|null|
|**2025-11-11**|**Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow Matching**|Aditi Singhania et.al.|[2511.08061](http://arxiv.org/abs/2511.08061)|null|
|**2025-11-11**|**TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling**|He Panjing et.al.|[2511.07968](http://arxiv.org/abs/2511.07968)|null|
|**2025-11-11**|**Visual Bridge: Universal Visual Perception Representations Generating**|Yilin Gao et.al.|[2511.07877](http://arxiv.org/abs/2511.07877)|null|
|**2025-11-11**|**VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing**|Peining Zhang et.al.|[2511.09568](http://arxiv.org/abs/2511.09568)|null|
|**2025-11-11**|**ViPRA: Video Prediction for Robot Actions**|Sandeep Routray et.al.|[2511.07732](http://arxiv.org/abs/2511.07732)|null|
|**2025-11-10**|**On Flow Matching KL Divergence**|Maojiang Su et.al.|[2511.05480](http://arxiv.org/abs/2511.05480)|null|
|**2025-11-10**|**BridgeVoC: Revitalizing Neural Vocoder from a Restoration Perspective**|Andong Li et.al.|[2511.07116](http://arxiv.org/abs/2511.07116)|null|
|**2025-11-10**|**Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation**|Fanding Li et.al.|[2511.06857](http://arxiv.org/abs/2511.06857)|null|
|**2025-11-10**|**Controllable Flow Matching for Online Reinforcement Learning**|Bin Wang et.al.|[2511.06816](http://arxiv.org/abs/2511.06816)|null|
|**2025-11-10**|**Image Restoration via Primal Dual Hybrid Gradient and Flow Generative Model**|Ji Li et.al.|[2511.06748](http://arxiv.org/abs/2511.06748)|null|
|**2025-11-10**|**Entangled Schrödinger Bridge Matching**|Sophia Tang et.al.|[2511.07406](http://arxiv.org/abs/2511.07406)|null|
|**2025-11-10**|**Manifest symplecticity in classical scattering**|Joon-Hwi Kim et.al.|[2511.07387](http://arxiv.org/abs/2511.07387)|null|
|**2025-11-08**|**Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving**|Hossein Askari et.al.|[2511.06138](http://arxiv.org/abs/2511.06138)|null|
|**2025-11-08**|**Neodragon: Mobile Video Generation using Diffusion Transformer**|Animesh Karnewar et.al.|[2511.06055](http://arxiv.org/abs/2511.06055)|null|
|**2025-11-08**|**Physics-Informed Design of Input Convex Neural Networks for Consistency Optimal Transport Flow Matching**|Fanghui Song et.al.|[2511.06042](http://arxiv.org/abs/2511.06042)|null|
|**2025-11-07**|**SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning**|Tzu-Yuan Huang et.al.|[2511.05355](http://arxiv.org/abs/2511.05355)|null|
|**2025-11-07**|**Multi-agent Coordination via Flow Matching**|Dongsu Lee et.al.|[2511.05005](http://arxiv.org/abs/2511.05005)|null|
|**2025-11-06**|**Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems**|Hans Harder et.al.|[2511.04641](http://arxiv.org/abs/2511.04641)|null|
|**2025-11-06**|**Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories**|Olav Finne Praesteng Larsen et.al.|[2511.04155](http://arxiv.org/abs/2511.04155)|null|
|**2025-11-05**|**SyMuPe: Affective and Controllable Symbolic Music Performance**|Ilya Borovik et.al.|[2511.03425](http://arxiv.org/abs/2511.03425)|null|
|**2025-11-04**|**Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model**|John Won et.al.|[2510.27607](http://arxiv.org/abs/2510.27607)|null|
|**2025-11-04**|**Dexterous Robotic Piano Playing at Scale**|Le Chen et.al.|[2511.02504](http://arxiv.org/abs/2511.02504)|null|
|**2025-11-04**|**Discrete Bayesian Sample Inference for Graph Generation**|Ole Petersen et.al.|[2511.03015](http://arxiv.org/abs/2511.03015)|null|
|**2025-11-04**|**Diversified Flow Matching with Translation Identifiability**|Sagar Shrestha et.al.|[2511.05558](http://arxiv.org/abs/2511.05558)|null|
|**2025-11-03**|**RareFlow: Physics-Aware Flow-Matching for Cross-Sensor Super-Resolution of Rare-Earth Features**|Forouzan Fallah et.al.|[2510.23816](http://arxiv.org/abs/2510.23816)|null|
|**2025-11-03**|**Lightweight Learning from Actuation-Space Demonstrations via Flow Matching for Whole-Body Soft Robotic Grasping**|Liudi Yang et.al.|[2511.01770](http://arxiv.org/abs/2511.01770)|null|
|**2025-11-03**|**UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback**|Ropeway Liu et.al.|[2511.01678](http://arxiv.org/abs/2511.01678)|null|
|**2025-11-03**|**SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation**|Yufeng Jin et.al.|[2511.01501](http://arxiv.org/abs/2511.01501)|null|
|**2025-11-02**|**Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow**|Kristiyan Sakalyan et.al.|[2511.00977](http://arxiv.org/abs/2511.00977)|null|
|**2025-10-31**|**Simplex-to-Euclidean Bijections for Categorical Flow Matching**|Bernardo Williams et.al.|[2510.27480](http://arxiv.org/abs/2510.27480)|null|
|**2025-10-31**|**On the Equivalence of Optimal Transport Problem and Action Matching with Optimal Vector Fields**|Nikita Kornilov et.al.|[2510.27385](http://arxiv.org/abs/2510.27385)|null|
|**2025-10-31**|**Learning Generalizable Visuomotor Policy through Dynamics-Alignment**|Dohyeok Lee et.al.|[2510.27114](http://arxiv.org/abs/2510.27114)|null|
|**2025-10-30**|**DiffRhythm 2: Efficient and High Fidelity Song Generation via Block Flow Matching**|Yuepeng Jiang et.al.|[2510.22950](http://arxiv.org/abs/2510.22950)|null|
|**2025-10-30**|**GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping**|Jing Wang et.al.|[2510.22319](http://arxiv.org/abs/2510.22319)|null|
|**2025-10-30**|**The Quest for Generalizable Motion Generation: Data, Model, and Evaluation**|Jing Lin et.al.|[2510.26794](http://arxiv.org/abs/2510.26794)|null|
|**2025-10-30**|**Curly Flow Matching for Learning Non-gradient Field Dynamics**|Katarina Petrović et.al.|[2510.26645](http://arxiv.org/abs/2510.26645)|null|
|**2025-10-30**|**ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching**|Anirban Ray et.al.|[2510.26601](http://arxiv.org/abs/2510.26601)|null|
|**2025-10-30**|**Efficient Generative AI Boosts Probabilistic Forecasting of Sudden Stratospheric Warmings**|Ningning Tao et.al.|[2510.26376](http://arxiv.org/abs/2510.26376)|null|
|**2025-10-30**|**Beyond Imitation: Constraint-Aware Trajectory Generation with Flow Matching For End-to-End Autonomous Driving**|Lin Liu et.al.|[2510.26292](http://arxiv.org/abs/2510.26292)|null|
|**2025-10-30**|**Structurally Valid Log Generation using FSM-GFlowNets**|Riya Samanta et.al.|[2510.26197](http://arxiv.org/abs/2510.26197)|null|
|**2025-10-29**|**PromptReverb: Multimodal Room Impulse Response Generation Through Latent Rectified Flow Matching**|Ali Vosoughi et.al.|[2510.22439](http://arxiv.org/abs/2510.22439)|null|
|**2025-10-29**|**Generative Image Restoration and Super-Resolution using Physics-Informed Synthetic Data for Scanning Tunneling Microscopy**|Nikola L. Kolev et.al.|[2510.25921](http://arxiv.org/abs/2510.25921)|null|
|**2025-10-29**|**LGCC: Enhancing Flow Matching Based Text-Guided Image Editing with Local Gaussian Coupling and Context Consistency**|Fangbing Liu et.al.|[2511.01894](http://arxiv.org/abs/2511.01894)|null|
|**2025-10-28**|**Coupled Flow Matching**|Wenxi Cai et.al.|[2510.23015](http://arxiv.org/abs/2510.23015)|null|
|**2025-10-28**|**Bridging Simulators with Conditional Optimal Transport**|Justine Zeghal et.al.|[2510.24631](http://arxiv.org/abs/2510.24631)|null|
|**2025-10-28**|**The Generation Phases of Flow Matching: a Denoising Perspective**|Anne Gagneux et.al.|[2510.24830](http://arxiv.org/abs/2510.24830)|null|
|**2025-10-27**|**Nested AutoRegressive Models**|Hongyu Wu et.al.|[2510.23028](http://arxiv.org/abs/2510.23028)|null|
|**2025-10-26**|**FlowCritic: Bridging Value Estimation with Flow Matching in Reinforcement Learning**|Shan Zhong et.al.|[2510.22686](http://arxiv.org/abs/2510.22686)|null|
|**2025-10-25**|**ACG: Action Coherence Guidance for Flow-based VLA models**|Minho Park et.al.|[2510.22201](http://arxiv.org/abs/2510.22201)|null|
|**2025-10-24**|**StylePitcher: Generating Style-Following and Expressive Pitch Curves for Versatile Singing Tasks**|Jingyue Huang et.al.|[2510.21685](http://arxiv.org/abs/2510.21685)|null|
|**2025-10-24**|**FlowSynth: Instrument Generation Through Distributional Flow Matching and Test-Time Search**|Qihui Yang et.al.|[2510.21667](http://arxiv.org/abs/2510.21667)|null|
|**2025-10-24**|**Smule Renaissance Small: Efficient General-Purpose Vocal Restoration**|Yongyi Zang et.al.|[2510.21659](http://arxiv.org/abs/2510.21659)|null|
|**2025-10-24**|**Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds**|Oscar Davis et.al.|[2510.21608](http://arxiv.org/abs/2510.21608)|null|
|**2025-10-24**|**Sample By Step, Optimize By Chunk: Chunk-Level GRPO For Text-to-Image Generation**|Yifu Luo et.al.|[2510.21583](http://arxiv.org/abs/2510.21583)|null|
|**2025-10-24**|**On the flow matching interpretability**|Francesco Pivi et.al.|[2510.21210](http://arxiv.org/abs/2510.21210)|null|
|**2025-10-24**|**Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation**|Dogyun Park et.al.|[2510.21167](http://arxiv.org/abs/2510.21167)|null|
|**2025-10-24**|**FlowOpt: Fast Optimization Through Whole Flow Processes for Training-Free Editing**|Or Ronai et.al.|[2510.22010](http://arxiv.org/abs/2510.22010)|null|
|**2025-10-23**|**CUPID: Pose-Grounded Generative 3D Reconstruction from a Single Image**|Binbin Huang et.al.|[2510.20776](http://arxiv.org/abs/2510.20776)|null|
|**2025-10-23**|**AlphaFlow: Understanding and Improving MeanFlow Models**|Huijie Zhang et.al.|[2510.20771](http://arxiv.org/abs/2510.20771)|null|
|**2025-10-23**|**Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation**|Xiaoxin Ye et.al.|[2510.21021](http://arxiv.org/abs/2510.21021)|null|
|**2025-10-23**|**Generative Point Tracking with Flow Matching**|Mattie Tesfaldet et.al.|[2510.20951](http://arxiv.org/abs/2510.20951)|null|
|**2025-10-23**|**GuitarFlow: Realistic Electric Guitar Synthesis From Tablatures via Flow Matching and Style Transfer**|Jackson Loth et.al.|[2510.21872](http://arxiv.org/abs/2510.21872)|null|
|**2025-10-22**|**LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching**|Zhuo Cao et.al.|[2510.14623](http://arxiv.org/abs/2510.14623)|null|
|**2025-10-22**|**Imitation Learning Policy based on Multi-Step Consistent Integration Shortcut Model**|Yu Fang et.al.|[2510.19356](http://arxiv.org/abs/2510.19356)|null|
|**2025-10-21**|**Matcha: Multi-Stage Riemannian Flow Matching for Accurate and Physically Valid Molecular Docking**|Daria Frolova et.al.|[2510.14586](http://arxiv.org/abs/2510.14586)|null|
|**2025-10-21**|**Exploring Cross-Modal Flows for Few-Shot Learning**|Ziqi Jiang et.al.|[2510.14543](http://arxiv.org/abs/2510.14543)|null|
|**2025-10-21**|**Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback**|Zongjian Li et.al.|[2510.16888](http://arxiv.org/abs/2510.16888)|null|
|**2025-10-21**|**Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching**|Zhong Li et.al.|[2510.18328](http://arxiv.org/abs/2510.18328)|null|
|**2025-10-20**|**Inference-Time Compute Scaling For Flow Matching**|Adam Stecklov et.al.|[2510.17786](http://arxiv.org/abs/2510.17786)|null|
|**2025-10-20**|**Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network**|Bo Liang et.al.|[2510.17459](http://arxiv.org/abs/2510.17459)|null|
|**2025-10-20**|**Fine-tuning Flow Matching Generative Models with Intermediate Feedback**|Jiajun Fan et.al.|[2510.18072](http://arxiv.org/abs/2510.18072)|null|
|**2025-10-20**|**Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models**|Jiajun Fan et.al.|[2510.18053](http://arxiv.org/abs/2510.18053)|null|
|**2025-10-20**|**Demystifying Transition Matching: When and Why It Can Beat Flow Matching**|Jaihoon Kim et.al.|[2510.17991](http://arxiv.org/abs/2510.17991)|null|
|**2025-10-19**|**Towards Real-Time Generative Speech Restoration with Flow-Matching**|Tsun-An Hsieh et.al.|[2510.16997](http://arxiv.org/abs/2510.16997)|null|
|**2025-10-19**|**Adaptive Deterministic Flow Matching for Target Speaker Extraction**|Tsun-An Hsieh et.al.|[2510.16995](http://arxiv.org/abs/2510.16995)|null|
|**2025-10-18**|**Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?**|Junchi Yu et.al.|[2510.16582](http://arxiv.org/abs/2510.16582)|null|
|**2025-10-17**|**Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning**|Mingyang Sun et.al.|[2510.15388](http://arxiv.org/abs/2510.15388)|null|
|**2025-10-17**|**Sequence Modeling with Spectral Mean Flows**|Jinwoo Kim et.al.|[2510.15366](http://arxiv.org/abs/2510.15366)|null|
|**2025-10-17**|**AtomBench: A Benchmark for Generative Atomic Structure Models using GPT, Diffusion, and Flow Architectures**|Charles Rhys Campbell et.al.|[2510.16165](http://arxiv.org/abs/2510.16165)|null|
|**2025-10-16**|**Adapting Noise to Data: Generative Flows from 1D Processes**|Jannis Chemseddine et.al.|[2510.12636](http://arxiv.org/abs/2510.12636)|null|
|**2025-10-16**|**NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching**|Run Luo et.al.|[2510.13721](http://arxiv.org/abs/2510.13721)|null|
|**2025-10-16**|**Terra: Explorable Native 3D World Model with Point Latents**|Yuanhui Huang et.al.|[2510.14977](http://arxiv.org/abs/2510.14977)|null|
|**2025-10-16**|**pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation**|Hansheng Chen et.al.|[2510.14974](http://arxiv.org/abs/2510.14974)|null|
|**2025-10-16**|**Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation**|Lara Brudermüller et.al.|[2510.14643](http://arxiv.org/abs/2510.14643)|null|
|**2025-10-16**|**Adapting Self-Supervised Representations as a Latent Space for Efficient Generation**|Ming Gui et.al.|[2510.14630](http://arxiv.org/abs/2510.14630)|null|
|**2025-10-16**|**Flow Matching for Averaged Systems**|Daniel Owusu Adu et.al.|[2510.14514](http://arxiv.org/abs/2510.14514)|null|
|**2025-10-16**|**Hybrid Renormalization with Gradient Flow for Baryon Quasi-Distribution Amplitudes**|Jia-lu Zhang et.al.|[2510.14325](http://arxiv.org/abs/2510.14325)|null|
|**2025-10-16**|**Hierarchical Simulation-Based Inference of Supernova Power Sources and their Physical Properties**|Edgar P. Vidal et.al.|[2510.14202](http://arxiv.org/abs/2510.14202)|null|
|**2025-10-16**|**Operator Flow Matching for Timeseries Forecasting**|Yolanne Yi Ran Lee et.al.|[2510.15101](http://arxiv.org/abs/2510.15101)|null|
|**2025-10-15**|**Conditional Flow Matching for Bayesian Posterior Inference**|So Won Jeong et.al.|[2510.09534](http://arxiv.org/abs/2510.09534)|null|
|**2025-10-15**|**EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels**|Kunyu Peng et.al.|[2510.12687](http://arxiv.org/abs/2510.12687)|null|
|**2025-10-15**|**Convergence, design and training of continuous-time dropout as a random batch method**|Antonio Álvarez-López et.al.|[2510.13134](http://arxiv.org/abs/2510.13134)|null|
|**2025-10-14**|**Low-Field Magnetic Resonance Image Quality Enhancement using a Conditional Flow Matching Model**|Huu Tien Nguyen et.al.|[2510.12408](http://arxiv.org/abs/2510.12408)|null|
|**2025-10-13**|**Failure Prediction at Runtime for Generative Robot Policies**|Ralf Römer et.al.|[2510.09459](http://arxiv.org/abs/2510.09459)|null|
|**2025-10-13**|**FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning**|Zhenglin Wan et.al.|[2510.09222](http://arxiv.org/abs/2510.09222)|null|
|**2025-10-13**|**Offline Reinforcement Learning with Generative Trajectory Policies**|Xinsong Feng et.al.|[2510.11499](http://arxiv.org/abs/2510.11499)|null|
|**2025-10-13**|**Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling**|Tianyi Tan et.al.|[2510.11083](http://arxiv.org/abs/2510.11083)|null|
|**2025-10-12**|**DEMO: Disentangled Motion Latent Flow Matching for Fine-Grained Controllable Talking Portrait Synthesis**|Peiyin Chen et.al.|[2510.10650](http://arxiv.org/abs/2510.10650)|null|
|**2025-10-12**|**ProteinAE: Protein Diffusion Autoencoders for Structure Encoding**|Shaoning Li et.al.|[2510.10634](http://arxiv.org/abs/2510.10634)|null|
|**2025-10-11**|**X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model**|Jinliang Zheng et.al.|[2510.10274](http://arxiv.org/abs/2510.10274)|null|
|**2025-10-11**|**Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models**|Mingyang Lyu et.al.|[2510.09976](http://arxiv.org/abs/2510.09976)|null|
|**2025-10-10**|**Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching**|Shihe Zhou et.al.|[2510.07957](http://arxiv.org/abs/2510.07957)|null|
|**2025-10-10**|**RadioFlow: Efficient Radio Map Construction Framework with Flow Matching**|Haozhe Jia et.al.|[2510.09314](http://arxiv.org/abs/2510.09314)|null|
|**2025-10-10**|**Stable Video Infinity: Infinite-Length Video Generation with Error Recycling**|Wuyang Li et.al.|[2510.09212](http://arxiv.org/abs/2510.09212)|null|
|**2025-10-10**|**Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization**|Simon Idoko et.al.|[2510.09204](http://arxiv.org/abs/2510.09204)|null|
|**2025-10-10**|**OSCAR: Orthogonal Stochastic Control for Alignment-Respecting Diversity in Flow Matching**|Jingxuan Wu et.al.|[2510.09060](http://arxiv.org/abs/2510.09060)|null|
|**2025-10-10**|**Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains**|Yunrui Guan et.al.|[2510.08929](http://arxiv.org/abs/2510.08929)|null|
|**2025-10-09**|**OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows**|John Nguyen et.al.|[2510.03506](http://arxiv.org/abs/2510.03506)|null|
|**2025-10-09**|**Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models**|David Layden et.al.|[2510.08462](http://arxiv.org/abs/2510.08462)|null|
|**2025-10-09**|**DialoSpeech: Dual-Speaker Dialogue Generation with LLM and Flow Matching**|Hanke Xie et.al.|[2510.08373](http://arxiv.org/abs/2510.08373)|null|
|**2025-10-09**|**Bridging the Physics-Data Gap with FNO-Guided Conditional Flow Matching: Designing Inductive Bias through Hierarchical Physical Constraints**|Tsuyoshi Okita et.al.|[2510.08295](http://arxiv.org/abs/2510.08295)|null|
|**2025-10-09**|**Counterfactual Identifiability via Dynamic Optimal Transport**|Fabio De Sousa Ribeiro et.al.|[2510.08294](http://arxiv.org/abs/2510.08294)|null|
|**2025-10-09**|**Expressive Value Learning for Scalable Offline Reinforcement Learning**|Nicolas Espinosa-Dice et.al.|[2510.08218](http://arxiv.org/abs/2510.08218)|null|
|**2025-10-09**|**FlowLensing: Simulating Gravitational Lensing with Flow Matching**|Hamees Sayed et.al.|[2510.07878](http://arxiv.org/abs/2510.07878)|null|
|**2025-10-09**|**DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation**|Guowei Zou et.al.|[2510.07865](http://arxiv.org/abs/2510.07865)|null|
|**2025-10-09**|**Value Flows**|Perry Dong et.al.|[2510.07650](http://arxiv.org/abs/2510.07650)|null|
|**2025-10-08**|**Edit-Based Flow Matching for Temporal Point Processes**|David Lüdke et.al.|[2510.06050](http://arxiv.org/abs/2510.06050)|null|
|**2025-10-08**|**Trajectory-Optimized Density Control with Flow Matching**|Xu Duan et.al.|[2510.06666](http://arxiv.org/abs/2510.06666)|null|
|**2025-10-08**|**Three Forms of Stochastic Injection for Improved Distribution-to-Distribution Generative Modeling**|Shiye Su et.al.|[2510.06634](http://arxiv.org/abs/2510.06634)|null|
|**2025-10-08**|**A Denoising Framework for Real-World Ultra-Low Dose Lung CT Images Based on an Image Purification Strategy**|Guoliang Gong et.al.|[2510.07492](http://arxiv.org/abs/2510.07492)|null|
|**2025-10-07**|**Neon: Negative Extrapolation From Self-Training Improves Image Generation**|Sina Alemohammad et.al.|[2510.03597](http://arxiv.org/abs/2510.03597)|null|
|**2025-10-07**|**Longitudinal Flow Matching for Trajectory Modeling**|Mohammad Mohaiminul Islam et.al.|[2510.03569](http://arxiv.org/abs/2510.03569)|null|
|**2025-10-07**|**Deforming Videos to Masks: Flow Matching for Referring Video Segmentation**|Zanyi Wang et.al.|[2510.06139](http://arxiv.org/abs/2510.06139)|null|
|**2025-10-07**|**Carré du champ flow matching: better quality-generalisation tradeoff in generative models**|Jacob Bamberger et.al.|[2510.05930](http://arxiv.org/abs/2510.05930)|null|
|**2025-10-06**|**FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction**|Julian Cremer et.al.|[2510.02578](http://arxiv.org/abs/2510.02578)|null|
|**2025-10-06**|**Flow-Matching Based Refiner for Molecular Conformer Generation**|Xiangyang Xu et.al.|[2510.04878](http://arxiv.org/abs/2510.04878)|null|
|**2025-10-06**|**Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis**|Arnela Hadzic et.al.|[2510.04823](http://arxiv.org/abs/2510.04823)|null|
|**2025-10-06**|**Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation**|Johanna Sommer et.al.|[2510.04646](http://arxiv.org/abs/2510.04646)|null|
|**2025-10-06**|**UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models**|Wenhao Guan et.al.|[2510.04593](http://arxiv.org/abs/2510.04593)|null|
|**2025-10-05**|**Drax: Speech Recognition with Discrete Flow Matching**|Aviv Navon et.al.|[2510.04162](http://arxiv.org/abs/2510.04162)|null|
|**2025-10-03**|**ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data**|Santanu Subhash Rathod et.al.|[2510.02952](http://arxiv.org/abs/2510.02952)|null|
|**2025-10-03**|**Flamed-TTS: Flow Matching Attention-Free Models for Efficient Generating and Dynamic Pacing Zero-shot Text-to-Speech**|Hieu-Nghia Huynh-Nguyen et.al.|[2510.02848](http://arxiv.org/abs/2510.02848)|null|
|**2025-10-03**|**Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data**|Tianyu Li et.al.|[2510.02738](http://arxiv.org/abs/2510.02738)|null|
|**2025-10-03**|**Flow Matching for Measure Transport and Feedback Stabilization of Control-Affine Systems**|Karthik Elamvazhuthi et.al.|[2510.02706](http://arxiv.org/abs/2510.02706)|null|
|**2025-10-03**|**RAMAC: Multimodal Risk-Aware Offline Reinforcement Learning and the Role of Behavior Regularization**|Kai Fukazawa et.al.|[2510.02695](http://arxiv.org/abs/2510.02695)|null|
|**2025-10-03**|**Smart-GRPO: Smartly Sampling Noise for Efficient RL of Flow-Matching Models**|Benjamin Yu et.al.|[2510.02654](http://arxiv.org/abs/2510.02654)|null|
|**2025-10-03**|**Deep Generative Continual Learning using Functional LoRA: FunLoRA**|Victor Enescu et.al.|[2510.02631](http://arxiv.org/abs/2510.02631)|null|
|**2025-10-03**|**Warm-Starting Optimization-Based Motion Planning for Robotic Manipulators via Point Cloud-Conditioned Flow Matching**|Sibo Tian et.al.|[2510.03460](http://arxiv.org/abs/2510.03460)|null|
|**2025-10-02**|**Optimal Control Meets Flow Matching: A Principled Route to Multi-Subject Fidelity**|Eric Tillmann Bill et.al.|[2510.02315](http://arxiv.org/abs/2510.02315)|null|
|**2025-10-02**|**DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing**|Zihan Zhou et.al.|[2510.02253](http://arxiv.org/abs/2510.02253)|null|
|**2025-10-02**|**Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions**|Zhaoyi Li et.al.|[2510.02081](http://arxiv.org/abs/2510.02081)|null|
|**2025-10-02**|**Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstruction**|Yi Ai et.al.|[2510.01912](http://arxiv.org/abs/2510.01912)|null|
|**2025-10-02**|**Graph Generation with Spectral Geodesic Flow Matching**|Xikun Huang et.al.|[2510.02520](http://arxiv.org/abs/2510.02520)|null|
|**2025-10-01**|**Purrception: Variational Flow Matching for Vector-Quantized Image Generation**|Răzvan-Andrei Matişan et.al.|[2510.01478](http://arxiv.org/abs/2510.01478)|null|
|**2025-10-01**|**DisCo: Reinforcement with Diversity Constraints for Multi-Human Generation**|Shubhankar Borse et.al.|[2510.01399](http://arxiv.org/abs/2510.01399)|null|
|**2025-10-01**|**Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models**|Yanbo Xu et.al.|[2510.01184](http://arxiv.org/abs/2510.01184)|null|
|**2025-10-01**|**Multi-Marginal Flow Matching with Adversarially Learnt Interpolants**|Oskar Kviman et.al.|[2510.01159](http://arxiv.org/abs/2510.01159)|null|
|**2025-10-01**|**Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition**|Jiahang Cao et.al.|[2510.01068](http://arxiv.org/abs/2510.01068)|null|
|**2025-10-01**|**Riemannian Consistency Model**|Chaoran Cheng et.al.|[2510.00983](http://arxiv.org/abs/2510.00983)|null|
|**2025-10-01**|**JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation**|Siheng Wan et.al.|[2510.00974](http://arxiv.org/abs/2510.00974)|null|
|**2025-10-01**|**UniverSR: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow Matching**|Woongjib Choi et.al.|[2510.00771](http://arxiv.org/abs/2510.00771)|null|
|**2025-10-01**|**Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents**|Beomsu Kim et.al.|[2510.00658](http://arxiv.org/abs/2510.00658)|null|
|**2025-10-01**|**Erased, But Not Forgotten: Erased Rectified Flow Transformers Still Remain Unsafe Under Concept Attack**|Nanxiang Jiang et.al.|[2510.00635](http://arxiv.org/abs/2510.00635)|null|
|**2025-10-01**|**EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations**|Jiayi Liu et.al.|[2510.00405](http://arxiv.org/abs/2510.00405)|null|
|**2025-09-30**|**MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models**|Kacper Kapuśniak et.al.|[2509.24779](http://arxiv.org/abs/2509.24779)|null|
|**2025-09-30**|**VSSFlow: Unifying Video-conditioned Sound and Speech Generation via Joint Learning**|Xin Cheng et.al.|[2509.24773](http://arxiv.org/abs/2509.24773)|null|
|**2025-09-30**|**Data-to-Energy Stochastic Dynamics**|Kirill Tamogashev et.al.|[2509.26364](http://arxiv.org/abs/2509.26364)|null|
|**2025-09-30**|**FLOWER: A Flow-Matching Solver for Inverse Problems**|Mehrsa Pourya et.al.|[2509.26287](http://arxiv.org/abs/2509.26287)|null|
|**2025-09-30**|**Training-Free Reward-Guided Image Editing via Trajectory Optimal Control**|Jinho Chang et.al.|[2509.25845](http://arxiv.org/abs/2509.25845)|null|
|**2025-09-30**|**Reweighted Flow Matching via Unbalanced OT for Label-free Long-tailed Generation**|Hyunsoo Song et.al.|[2509.25713](http://arxiv.org/abs/2509.25713)|null|
|**2025-09-30**|**LTA-L2S: Lexical Tone-Aware Lip-to-Speech Synthesis for Mandarin with Cross-Lingual Transfer Learning**|Kang Yang et.al.|[2509.25670](http://arxiv.org/abs/2509.25670)|null|
|**2025-09-30**|**Flow Autoencoders are Effective Protein Tokenizers**|Rohit Dilip et.al.|[2510.00351](http://arxiv.org/abs/2510.00351)|null|
|**2025-09-29**|**Score Distillation of Flow Matching Models**|Mingyuan Zhou et.al.|[2509.25127](http://arxiv.org/abs/2509.25127)|null|
|**2025-09-29**|**UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generation**|Guanjun Wu et.al.|[2509.25079](http://arxiv.org/abs/2509.25079)|null|
|**2025-09-29**|**Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models**|Shuchen Xue et.al.|[2509.25050](http://arxiv.org/abs/2509.25050)|null|
|**2025-09-29**|**MSG: Multi-Stream Generative Policies for Sample-Efficient Robotic Manipulation**|Jan Ole von Hartz et.al.|[2509.24956](http://arxiv.org/abs/2509.24956)|null|
|**2025-09-29**|**OAT-FM: Optimal Acceleration Transport for Improved Flow Matching**|Angxiao Yue et.al.|[2509.24936](http://arxiv.org/abs/2509.24936)|null|
|**2025-09-29**|**SAGA-SR: Semantically and Acoustically Guided Audio Super-Resolution**|Jaekwon Im et.al.|[2509.24924](http://arxiv.org/abs/2509.24924)|null|
|**2025-09-29**|**SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancement**|Xingchen Li et.al.|[2509.24708](http://arxiv.org/abs/2509.24708)|null|
|**2025-09-29**|**Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis**|Kaizhen Zhu et.al.|[2509.24531](http://arxiv.org/abs/2509.24531)|null|
|**2025-09-29**|**Trading Carbon for Physics: On the Resource Efficiency of Machine Learning for Spatio-Temporal Forecasting**|Sophia N. Wilson et.al.|[2509.24517](http://arxiv.org/abs/2509.24517)|null|
|**2025-09-29**|**Alternatives To Next Token Prediction In Text Generation -- A Survey**|Charlie Wyatt et.al.|[2509.24435](http://arxiv.org/abs/2509.24435)|null|
|**2025-09-29**|**UniFlow-Audio: Unified Flow Matching for Audio Generation from Omni-Modalities**|Xuenan Xu et.al.|[2509.24391](http://arxiv.org/abs/2509.24391)|null|
|**2025-09-29**|**SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions**|Jeongyong Yang et.al.|[2509.24243](http://arxiv.org/abs/2509.24243)|null|
|**2025-09-29**|**MoReFlow: Motion Retargeting Learning through Unsupervised Flow Matching**|Wontaek Kim et.al.|[2509.25600](http://arxiv.org/abs/2509.25600)|null|
|**2025-09-29**|**Flow Matching with Semidiscrete Couplings**|Alireza Mousavi-Hosseini et.al.|[2509.25519](http://arxiv.org/abs/2509.25519)|null|
|**2025-09-29**|**Let Physics Guide Your Protein Flows: Topology-aware Unfolding and Generation**|Yogesh Verma et.al.|[2509.25379](http://arxiv.org/abs/2509.25379)|null|
|**2025-09-29**|**FlashI2V: Fourier-Guided Latent Shifting Prevents Conditional Image Leakage in Image-to-Video Generation**|Yunyang Ge et.al.|[2509.25187](http://arxiv.org/abs/2509.25187)|null|
|**2025-09-29**|**Fast, accurate, and precise detector simulation with vision transformers**|Luigi Favaro et.al.|[2509.25169](http://arxiv.org/abs/2509.25169)|null|
|**2025-09-29**|**GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models**|Peter Holderrieth et.al.|[2509.25170](http://arxiv.org/abs/2509.25170)|null|
|**2025-09-29**|**Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation**|Jinhao Liang et.al.|[2509.25157](http://arxiv.org/abs/2509.25157)|null|
|**2025-09-28**|**GeoFunFlow: Geometric Function Flow Matching for Inverse Operator Learning over Complex Geometries**|Sifan Wang et.al.|[2509.24117](http://arxiv.org/abs/2509.24117)|null|
|**2025-09-28**|**Space Group Conditional Flow Matching**|Omri Puny et.al.|[2509.23822](http://arxiv.org/abs/2509.23822)|null|
|**2025-09-28**|**Define latent spaces by example: optimisation over the outputs of generative models**|Samuel Willis et.al.|[2509.23800](http://arxiv.org/abs/2509.23800)|null|
|**2025-09-28**|**DA-MMP: Learning Coordinated and Accurate Throwing with Dynamics-Aware Motion Manifold Primitives**|Chi Chu et.al.|[2509.23721](http://arxiv.org/abs/2509.23721)|null|
|**2025-09-28**|**FlowLUT: Efficient Image Enhancement via Differentiable LUTs and Iterative Flow Matching**|Liubing Hu et.al.|[2509.23608](http://arxiv.org/abs/2509.23608)|null|
|**2025-09-28**|**VividFace: High-Quality and Efficient One-Step Diffusion For Video Face Enhancement**|Shulian Zhang et.al.|[2509.23584](http://arxiv.org/abs/2509.23584)|null|
|**2025-09-26**|**A Theoretical Analysis of Discrete Flow Matching Generative Models**|Maojiang Su et.al.|[2509.22623](http://arxiv.org/abs/2509.22623)|null|
|**2025-09-26**|**Transport Based Mean Flows for Generative Modeling**|Elaheh Akbari et.al.|[2509.22592](http://arxiv.org/abs/2509.22592)|null|
|**2025-09-26**|**Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)**|Nikita Kornilov et.al.|[2509.22459](http://arxiv.org/abs/2509.22459)|null|
|**2025-09-26**|**Overclocking Electrostatic Generative Models**|Daniil Shlenskii et.al.|[2509.22454](http://arxiv.org/abs/2509.22454)|null|
|**2025-09-26**|**NIFTY: a Non-Local Image Flow Matching for Texture Synthesis**|Pierrick Chatillon et.al.|[2509.22318](http://arxiv.org/abs/2509.22318)|null|
|**2025-09-26**|**Aurora: Towards Universal Generative Multimodal Time Series Forecasting**|Xingjian Wu et.al.|[2509.22295](http://arxiv.org/abs/2509.22295)|null|
|**2025-09-26**|**High-Quality Sound Separation Across Diverse Categories via Visually-Guided Generative Modeling**|Chao Huang et.al.|[2509.22063](http://arxiv.org/abs/2509.22063)|null|
|**2025-09-26**|**FlowDrive: moderated flow matching with data balancing for trajectory planning**|Lingguang Wang et.al.|[2509.21961](http://arxiv.org/abs/2509.21961)|null|
|**2025-09-26**|**Taming Flow-based I2V Models for Creative Video Editing**|Xianghao Kong et.al.|[2509.21917](http://arxiv.org/abs/2509.21917)|null|
|**2025-09-26**|**Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching**|Zhengyan Wan et.al.|[2509.21912](http://arxiv.org/abs/2509.21912)|null|
|**2025-09-25**|**Federated Flow Matching**|Zifan Wang et.al.|[2509.21250](http://arxiv.org/abs/2509.21250)|null|
|**2025-09-25**|**MeanSE: Efficient Generative Speech Enhancement with Mean Flows**|Jiahe Wang et.al.|[2509.21214](http://arxiv.org/abs/2509.21214)|null|
|**2025-09-25**|**Flow Matching in the Low-Noise Regime: Pathologies and a Contrastive Remedy**|Weili Zeng et.al.|[2509.20952](http://arxiv.org/abs/2509.20952)|null|
|**2025-09-25**|**Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting**|Yanfeng Yang et.al.|[2509.20928](http://arxiv.org/abs/2509.20928)|null|
|**2025-09-25**|**Joint Flow Trajectory Optimization For Feasible Robot Motion Generation from Video Demonstrations**|Xiaoxiang Dong et.al.|[2509.20703](http://arxiv.org/abs/2509.20703)|null|
|**2025-09-25**|**Shortcut Flow Matching for Speech Enhancement: Step-Invariant flows via single stage training**|Naisong Zhou et.al.|[2509.21522](http://arxiv.org/abs/2509.21522)|null|
|**2025-09-24**|**DynaFlow: Dynamics-embedded Flow Matching for Physically Consistent Motion Generation from State-only Demonstrations**|Sowoo Lee et.al.|[2509.19804](http://arxiv.org/abs/2509.19804)|null|
|**2025-09-24**|**Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization**|Devesh Nath et.al.|[2509.19688](http://arxiv.org/abs/2509.19688)|null|
|**2025-09-24**|**FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models**|Amin Karimi Monsefi et.al.|[2509.20624](http://arxiv.org/abs/2509.20624)|null|
|**2025-09-24**|**A Theory of Multi-Agent Generative Flow Networks**|Leo Maxime Brunswic et.al.|[2509.20408](http://arxiv.org/abs/2509.20408)|null|
|**2025-09-23**|**CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching**|Chen Chen et.al.|[2509.19300](http://arxiv.org/abs/2509.19300)|null|
|**2025-09-23**|**Training Flow Matching Models with Reliable Labels via Self-Purification**|Hyeongju Kim et.al.|[2509.19091](http://arxiv.org/abs/2509.19091)|null|
|**2025-09-23**|**Flow marching for a generative PDE foundation model**|Zituo Chen et.al.|[2509.18611](http://arxiv.org/abs/2509.18611)|null|
|**2025-09-23**|**SimpleFold: Folding Proteins is Simpler than You Think**|Yuyang Wang et.al.|[2509.18480](http://arxiv.org/abs/2509.18480)|null|
|**2025-09-23**|**Metriplectic Conditional Flow Matching for Dissipative Dynamics**|Ali Baheri et.al.|[2509.19526](http://arxiv.org/abs/2509.19526)|null|
|**2025-09-22**|**Compose Yourself: Average-Velocity Flow Matching for One-Step Speech Enhancement**|Gang Yang et.al.|[2509.15952](http://arxiv.org/abs/2509.15952)|null|
|**2025-09-21**|**HOGraspFlow: Exploring Vision-based Generative Grasp Synthesis with Hand-Object Priors and Taxonomy Awareness**|Yitian Shi et.al.|[2509.16871](http://arxiv.org/abs/2509.16871)|null|
|**2025-09-20**|**Cross-Lingual F5-TTS: Towards Language-Agnostic Voice Cloning and Speech Synthesis**|Qingyu Liu et.al.|[2509.14579](http://arxiv.org/abs/2509.14579)|null|
|**2025-09-20**|**DoubleGen: Debiased Generative Modeling of Counterfactuals**|Alex Luedtke et.al.|[2509.16842](http://arxiv.org/abs/2509.16842)|null|
|**2025-09-19**|**DiffusionNFT: Online Diffusion Reinforcement with Forward Process**|Kaiwen Zheng et.al.|[2509.16117](http://arxiv.org/abs/2509.16117)|null|
|**2025-09-19**|**ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching**|Graham Clyne et.al.|[2509.15942](http://arxiv.org/abs/2509.15942)|null|
|**2025-09-19**|**Dynamic Objects Relocalization in Changing Environments with Flow Matching**|Francesco Argenziano et.al.|[2509.16398](http://arxiv.org/abs/2509.16398)|null|
|**2025-09-18**|**Real-Time Streaming Mel Vocoding with Generative Flow Matching**|Simon Welker et.al.|[2509.15085](http://arxiv.org/abs/2509.15085)|null|
|**2025-09-18**|**FlowCast-ODE: Continuous Hourly Weather Forecasting with Dynamic Flow Matching and ODE Integration**|Shuangshuang He et.al.|[2509.14775](http://arxiv.org/abs/2509.14775)|null|
|**2025-09-17**|**AnyAccomp: Generalizable Accompaniment Generation via Quantized Melodic Bottleneck**|Junan Zhang et.al.|[2509.14052](http://arxiv.org/abs/2509.14052)|null|
|**2025-09-17**|**RFM-Editing: Rectified Flow Matching for Text-guided Audio Editing**|Liting Gao et.al.|[2509.14003](http://arxiv.org/abs/2509.14003)|null|
|**2025-09-17**|**Flow Matching-Based Active Learning for Radio Map Construction with Low-Altitude UAVs**|Hao Sun et.al.|[2509.13822](http://arxiv.org/abs/2509.13822)|null|
|**2025-09-16**|**Accelerating Protein Molecular Dynamics Simulation with DeepJump**|Allan dos Santos Costa et.al.|[2509.13294](http://arxiv.org/abs/2509.13294)|null|
|**2025-09-16**|**Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies: Mitigating Multi-Step Inference Degradation**|Zidong Chen et.al.|[2509.13574](http://arxiv.org/abs/2509.13574)|null|
|**2025-09-16**|**EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing**|Tianyu Chen et.al.|[2509.13399](http://arxiv.org/abs/2509.13399)|null|
|**2025-09-15**|**Progressive Flow-inspired Unfolding for Spectral Compressive Imaging**|Xiaodong Wang et.al.|[2509.12079](http://arxiv.org/abs/2509.12079)|null|
|**2025-09-12**|**DiFlow-TTS: Discrete Flow Matching with Factorized Speech Tokens for Low-Latency Zero-Shot Text-To-Speech**|Ngoc-Son Nguyen et.al.|[2509.09631](http://arxiv.org/abs/2509.09631)|null|
|**2025-09-12**|**Flow Straight and Fast in Hilbert Space: Functional Rectified Flow**|Jianxin Zhang et.al.|[2509.10384](http://arxiv.org/abs/2509.10384)|null|
|**2025-09-11**|**Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders**|Dohun Lee et.al.|[2509.09547](http://arxiv.org/abs/2509.09547)|null|
|**2025-09-10**|**PegasusFlow: Parallel Rolling-Denoising Score Sampling for Robot Diffusion Planner Flow Matching**|Lei Ye et.al.|[2509.08435](http://arxiv.org/abs/2509.08435)|null|
|**2025-09-10**|**LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models**|Hirokazu Kameoka et.al.|[2509.08379](http://arxiv.org/abs/2509.08379)|null|
|**2025-09-09**|**EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control**|Delin Qu et.al.|[2508.21112](http://arxiv.org/abs/2508.21112)|null|
|**2025-09-09**|**FNODE: Flow-Matching for data-driven simulation of constrained multibody systems**|Hongyu Wang et.al.|[2509.00183](http://arxiv.org/abs/2509.00183)|null|
|**2025-09-09**|**Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching**|Feng Wang et.al.|[2509.05952](http://arxiv.org/abs/2509.05952)|null|
|**2025-09-08**|**Multimodal Generative Flows for LHC Jets**|Darius A. Faroughy et.al.|[2509.01736](http://arxiv.org/abs/2509.01736)|null|
|**2025-09-08**|**floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL**|Bhavya Agrawalla et.al.|[2509.06863](http://arxiv.org/abs/2509.06863)|null|
|**2025-09-08**|**MeanFlow-Accelerated Multimodal Video-to-Audio Synthesis via One-Step Generation**|Xiaoran Yang et.al.|[2509.06389](http://arxiv.org/abs/2509.06389)|null|
|**2025-09-06**|**CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching**|Qiang Ma et.al.|[2509.05754](http://arxiv.org/abs/2509.05754)|null|
|**2025-09-05**|**Crystal Structure Prediction with a Geometric Permutation-Invariant Loss Function**|Emmanuel Jehanno et.al.|[2509.00832](http://arxiv.org/abs/2509.00832)|null|
|**2025-09-04**|**From Editor to Dense Geometry Estimator**|JiYuan Wang et.al.|[2509.04338](http://arxiv.org/abs/2509.04338)|null|
|**2025-09-04**|**Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models**|Hongyin Zhang et.al.|[2509.04063](http://arxiv.org/abs/2509.04063)|null|
|**2025-09-04**|**Nonadiabatic force matching for alchemical free-energy estimation**|Jorge L. Rosa-Raíces et.al.|[2508.14179](http://arxiv.org/abs/2508.14179)|null|
|**2025-09-03**|**Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems**|Fleur Hendriks et.al.|[2509.03340](http://arxiv.org/abs/2509.03340)|null|
|**2025-09-03**|**Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling**|Niclas Dern et.al.|[2509.03726](http://arxiv.org/abs/2509.03726)|null|
|**2025-09-02**|**Distribution estimation via Flow Matching with Lipschitz guarantees**|Lea Kunkel et.al.|[2509.02337](http://arxiv.org/abs/2509.02337)|null|
|**2025-09-01**|**ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training**|Ge Yan et.al.|[2509.01819](http://arxiv.org/abs/2509.01819)|null|
|**2025-09-01**|**Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted Posterior**|Konstantin Mark et.al.|[2509.01543](http://arxiv.org/abs/2509.01543)|null|
|**2025-09-01**|**Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number**|Jingyuan Zhou et.al.|[2509.01486](http://arxiv.org/abs/2509.01486)|null|
|**2025-08-30**|**Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching**|An B. Vuong et.al.|[2509.00336](http://arxiv.org/abs/2509.00336)|null|
|**2025-08-29**|**Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical Imaging**|Nico Albert Disch et.al.|[2508.21580](http://arxiv.org/abs/2508.21580)|null|
|**2025-08-29**|**MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation**|Francisco Caetano et.al.|[2508.21435](http://arxiv.org/abs/2508.21435)|null|
|**2025-08-28**|**Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance**|Luozhijie Jin et.al.|[2508.21016](http://arxiv.org/abs/2508.21016)|null|
|**2025-08-28**|**Flowing Straighter with Conditional Flow Matching for Accurate Speech Enhancement**|Mattias Cross et.al.|[2508.20584](http://arxiv.org/abs/2508.20584)|null|
|**2025-08-27**|**Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation**|Lingkai Kong et.al.|[2508.14342](http://arxiv.org/abs/2508.14342)|null|
|**2025-08-27**|**Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies**|Zhixuan Liang et.al.|[2508.20072](http://arxiv.org/abs/2508.20072)|null|
|**2025-08-27**|**Quantum latent distributions in deep generative models**|Omar Bacarreza et.al.|[2508.19857](http://arxiv.org/abs/2508.19857)|null|
|**2025-08-27**|**MotionFlux: Efficient Text-Guided Motion Generation through Rectified Flow Matching and Preference Alignment**|Zhiting Gao et.al.|[2508.19527](http://arxiv.org/abs/2508.19527)|null|
|**2025-08-26**|**Energy-Based Flow Matching for Generating 3D Molecular Structure**|Wenyin Zhou et.al.|[2508.18949](http://arxiv.org/abs/2508.18949)|null|
|**2025-08-25**|**Provable Mixed-Noise Learning with Flow-Matching**|Paul Hagemann et.al.|[2508.18122](http://arxiv.org/abs/2508.18122)|null|
|**2025-08-25**|**Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem**|Zhicong Tang et.al.|[2508.18095](http://arxiv.org/abs/2508.18095)|null|
|**2025-08-25**|**Multi-domain Distribution Learning for De Novo Drug Design**|Arne Schneuing et.al.|[2508.17815](http://arxiv.org/abs/2508.17815)|null|
|**2025-08-25**|**Preference Trajectory Modeling via Flow Matching for Sequential Recommendation**|Li Li et.al.|[2508.17618](http://arxiv.org/abs/2508.17618)|null|
|**2025-08-24**|**CurveFlow: Curvature-Guided Flow Matching for Image Generation**|Yan Luo et.al.|[2508.15093](http://arxiv.org/abs/2508.15093)|null|
|**2025-08-24**|**Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling**|Haochen You et.al.|[2508.17426](http://arxiv.org/abs/2508.17426)|null|
|**2025-08-24**|**Multi-Metric Preference Alignment for Generative Speech Restoration**|Junan Zhang et.al.|[2508.17229](http://arxiv.org/abs/2508.17229)|null|
|**2025-08-22**|**Flow Matching-Based Generative Modeling for Efficient and Scalable Data Assimilation**|Taos Transue et.al.|[2508.13313](http://arxiv.org/abs/2508.13313)|null|
|**2025-08-22**|**Source-Guided Flow Matching**|Zifan Wang et.al.|[2508.14807](http://arxiv.org/abs/2508.14807)|null|
|**2025-08-22**|**Domain-aligned generative downscaling enhances projections of extreme climate events**|Ruian Tie et.al.|[2508.16396](http://arxiv.org/abs/2508.16396)|null|
|**2025-08-22**|**Vevo2: Bridging Controllable Speech and Singing Voice Generation via Unified Prosody Learning**|Xueyao Zhang et.al.|[2508.16332](http://arxiv.org/abs/2508.16332)|null|
|**2025-08-21**|**Flow Matching at Scale: A Machine Learning Framework for Efficient Large-Size Sampling of Many-Body Systems**|Qian-Rui Lee et.al.|[2508.15318](http://arxiv.org/abs/2508.15318)|null|
|**2025-08-20**|**3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation**|Nikolaos Gkanatsios et.al.|[2508.11002](http://arxiv.org/abs/2508.11002)|null|
|**2025-08-20**|**VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign Flip**|Wenqi Guo et.al.|[2508.10931](http://arxiv.org/abs/2508.10931)|null|
|**2025-08-19**|**Speech Enhancement based on cascaded two flows**|Seonggyu Lee et.al.|[2508.06842](http://arxiv.org/abs/2508.06842)|null|
|**2025-08-19**|**Revisiting Diffusion Q-Learning: From Iterative Denoising to One-Step Action Generation**|Thanh Nguyen et.al.|[2508.13904](http://arxiv.org/abs/2508.13904)|null|
|**2025-08-19**|**SAGA: Learning Signal-Aligned Distributions for Improved Text-to-Image Generation**|Paul Grimal et.al.|[2508.13866](http://arxiv.org/abs/2508.13866)|null|
|**2025-08-19**|**Smooth Flow Matching**|Jianbin Tan et.al.|[2508.13831](http://arxiv.org/abs/2508.13831)|null|
|**2025-08-19**|**EventTSF: Event-Aware Non-Stationary Time Series Forecasting**|Yunfeng Ge et.al.|[2508.13434](http://arxiv.org/abs/2508.13434)|null|
|**2025-08-18**|**NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale**|NextStep Team et.al.|[2508.10711](http://arxiv.org/abs/2508.10711)|null|
|**2025-08-18**|**CTFlow: Video-Inspired Latent Flow Matching for 3D CT Synthesis**|Jiayi Wang et.al.|[2508.12900](http://arxiv.org/abs/2508.12900)|null|
|**2025-08-18**|**FlowMol3: Flow Matching for 3D De Novo Small-Molecule Generation**|Ian Dunn et.al.|[2508.12629](http://arxiv.org/abs/2508.12629)|null|
|**2025-08-18**|**Efficient Constraint-Aware Flow Matching via Randomized Exploration**|Zhengyan Huan et.al.|[2508.13316](http://arxiv.org/abs/2508.13316)|null|
|**2025-08-17**|**Quantum Flow Matching**|Zidong Cui et.al.|[2508.12413](http://arxiv.org/abs/2508.12413)|null|
|**2025-08-15**|**It's not a FAD: first results in using Flows for unsupervised Anomaly Detection at 40 MHz at the Large Hadron Collider**|Francesco Vaselli et.al.|[2508.11594](http://arxiv.org/abs/2508.11594)|null|
|**2025-08-12**|**Flow Matching Posterior Sampling: A Training-free Conditional Generation for Flow Matching**|Kaiyu Song et.al.|[2411.07625](http://arxiv.org/abs/2411.07625)|null|
|**2025-08-12**|**XEmoRAG: Cross-Lingual Emotion Transfer with Controllable Intensity Using Retrieval-Augmented Generation**|Tianlun Zuo et.al.|[2508.07302](http://arxiv.org/abs/2508.07302)|null|
|**2025-08-12**|**PureSample: Neural Materials Learned by Sampling Microgeometry**|Zixuan Li et.al.|[2508.07240](http://arxiv.org/abs/2508.07240)|null|
|**2025-08-12**|**Generation of Real-time Robotic Emotional Expressions Learning from Human Demonstration in Mixed Reality**|Chao Wang et.al.|[2508.08999](http://arxiv.org/abs/2508.08999)|null|
|**2025-08-12**|**Towards Safe Imitation Learning via Potential Field-Guided Flow Matching**|Haoran Ding et.al.|[2508.08707](http://arxiv.org/abs/2508.08707)|null|
|**2025-08-12**|**Flow-SLM: Joint Learning of Linguistic and Acoustic Information for Spoken Language Modeling**|Ju-Chieh Chou et.al.|[2508.09350](http://arxiv.org/abs/2508.09350)|null|
|**2025-08-11**|**OMGSR: You Only Need One Mid-timestep Guidance for Real-World Image Super-Resolution**|Zhiqiang Wu et.al.|[2508.08227](http://arxiv.org/abs/2508.08227)|null|
|**2025-08-11**|**When and how can inexact generative models still sample from the data manifold?**|Nisha Chandramoorthy et.al.|[2508.07581](http://arxiv.org/abs/2508.07581)|null|
|**2025-08-11**|**UniFlow: Unifying Speech Front-End Tasks via Continuous Generative Modeling**|Ziqian Wang et.al.|[2508.07558](http://arxiv.org/abs/2508.07558)|null|
|**2025-08-11**|**Improved DDIM Sampling with Moment Matching Gaussian Mixtures**|Prasad Gabbur et.al.|[2311.04938](http://arxiv.org/abs/2311.04938)|null|
|**2025-08-09**|**Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria**|Yang Cao et.al.|[2508.07102](http://arxiv.org/abs/2508.07102)|null|
|**2025-08-09**|**FlowSE: Flow Matching-based Speech Enhancement**|Seonggyu Lee et.al.|[2508.06840](http://arxiv.org/abs/2508.06840)|null|
|**2025-08-09**|**CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types**|Abrar Rahman Abir et.al.|[2508.08312](http://arxiv.org/abs/2508.08312)|null|
|**2025-08-08**|**REF-VC: Robust, Expressive and Fast Zero-Shot Voice Conversion with Diffusion Transformers**|Yuepeng Jiang et.al.|[2508.04996](http://arxiv.org/abs/2508.04996)|null|
|**2025-08-08**|**OM2P: Offline Multi-Agent Mean-Flow Policy**|Zhuoran Li et.al.|[2508.06269](http://arxiv.org/abs/2508.06269)|null|
|**2025-08-08**|**DAFMSVC: One-Shot Singing Voice Conversion with Dual Attention Mechanism and Flow Matching**|Wei Chen et.al.|[2508.05978](http://arxiv.org/abs/2508.05978)|null|
|**2025-08-07**|**Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation**|Yue Liao et.al.|[2508.05635](http://arxiv.org/abs/2508.05635)|null|
|**2025-08-07**|**How and Why: Taming Flow Matching for Unsupervised Anomaly Detection and Localization**|Liangwei Li et.al.|[2508.05461](http://arxiv.org/abs/2508.05461)|null|
|**2025-08-06**|**EmoSteer-TTS: Fine-Grained and Training-Free Emotion-Controllable Text-to-Speech via Activation Steering**|Tianxin Xie et.al.|[2508.03543](http://arxiv.org/abs/2508.03543)|null|
|**2025-08-06**|**Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points**|Justin Lee et.al.|[2508.04351](http://arxiv.org/abs/2508.04351)|null|
|**2025-08-06**|**TempFlow-GRPO: When Timing Matters for GRPO in Flow Models**|Xiaoxuan He et.al.|[2508.04324](http://arxiv.org/abs/2508.04324)|null|
|**2025-08-06**|**Unified Flow Matching for Long Horizon Event Forecasting**|Xiao Shou et.al.|[2508.04843](http://arxiv.org/abs/2508.04843)|null|
|**2025-08-05**|**Equivariant Volumetric Grasping**|Pinhao Song et.al.|[2507.18847](http://arxiv.org/abs/2507.18847)|null|
|**2025-08-05**|**Style Composition within Distinct LoRA modules for Traditional Art**|Jaehyun Lee et.al.|[2507.11986](http://arxiv.org/abs/2507.11986)|null|
|**2025-08-05**|**Telegrapher's Generative Model via Kac Flows**|Richard Duong et.al.|[2506.20641](http://arxiv.org/abs/2506.20641)|null|
|**2025-08-05**|**FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping**|Alex Berlaga et.al.|[2508.03619](http://arxiv.org/abs/2508.03619)|null|
|**2025-08-05**|**CloudBreaker: Breaking the Cloud Covers of Sentinel-2 Images using Multi-Stage Trained Conditional Flow Matching on Sentinel-1**|Saleh Sakib Ahmed et.al.|[2508.03608](http://arxiv.org/abs/2508.03608)|null|
|**2025-08-05**|**SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering**|Jan Melechovsky et.al.|[2508.03448](http://arxiv.org/abs/2508.03448)|null|
|**2025-08-05**|**SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models**|Pingchuan Ma et.al.|[2508.03402](http://arxiv.org/abs/2508.03402)|null|
|**2025-08-03**|**VFP: Variational Flow-Matching Policy for Multi-Modal Robot Manipulation**|Xuanran Zhai et.al.|[2508.01622](http://arxiv.org/abs/2508.01622)|null|
|**2025-08-02**|**Unified Generation-Refinement Planning: Bridging Flow Matching and Sampling-Based MPC**|Kazuki Mizuta et.al.|[2508.01192](http://arxiv.org/abs/2508.01192)|null|
|**2025-08-01**|**Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data**|Siddharth Rout et.al.|[2508.01101](http://arxiv.org/abs/2508.01101)|null|
|**2025-08-01**|**FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems**|Yuxiang Wan et.al.|[2508.00721](http://arxiv.org/abs/2508.00721)|null|
|**2025-08-01**|**Unlocking New Paths for Science with Extreme-Mass-Ratio Inspirals: Machine Learning-Enhanced MCMC for Accurate Parameter Inversion**|Bo Liang et.al.|[2508.00348](http://arxiv.org/abs/2508.00348)|null|
|**2025-08-01**|**H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation**|Hongzhe Bi et.al.|[2507.23523](http://arxiv.org/abs/2507.23523)|null|
|**2025-08-01**|**Next Tokens Denoising for Speech Synthesis**|Yanqing Liu et.al.|[2507.22746](http://arxiv.org/abs/2507.22746)|null|
|**2025-08-01**|**Flow Matching Policy Gradients**|David McAllister et.al.|[2507.21053](http://arxiv.org/abs/2507.21053)|null|
|**2025-07-31**|**One-Step Flow Policy Mirror Descent**|Tianyi Chen et.al.|[2507.23675](http://arxiv.org/abs/2507.23675)|null|
|**2025-07-31**|**FMIP: Multimodal Flow Matching for Mixed Integer Linear Programming**|Hongpei Li et.al.|[2507.23390](http://arxiv.org/abs/2507.23390)|null|
|**2025-07-30**|**Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching**|Phi Van Nguyen et.al.|[2507.22418](http://arxiv.org/abs/2507.22418)|null|
|**2025-07-29**|**Weighted Conditional Flow Matching**|Sergio Calvo-Ordonez et.al.|[2507.22270](http://arxiv.org/abs/2507.22270)|null|
|**2025-07-29**|**MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE**|Junzhe Li et.al.|[2507.21802](http://arxiv.org/abs/2507.21802)|null|
|**2025-07-28**|**JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment**|Renhang Liu et.al.|[2507.20880](http://arxiv.org/abs/2507.20880)|null|
|**2025-07-28**|**Why Flow Matching is Particle Swarm Optimization?**|Kaichen Ouyang et.al.|[2507.20810](http://arxiv.org/abs/2507.20810)|null|
|**2025-07-27**|**Protein-SE(3): Benchmarking SE(3)-based Generative Models for Protein Structure Design**|Lang Yu et.al.|[2507.20243](http://arxiv.org/abs/2507.20243)|null|
|**2025-07-25**|**MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching**|Francisco Caetano et.al.|[2507.19098](http://arxiv.org/abs/2507.19098)|null|
|**2025-07-24**|**Even Faster Simulations with Flow Matching: A Study of Zero Degree Calorimeter Responses**|Maksymilian Wojnar et.al.|[2507.18811](http://arxiv.org/abs/2507.18811)|null|
|**2025-07-24**|**FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities**|Jin Wang et.al.|[2505.20147](http://arxiv.org/abs/2505.20147)|null|
|**2025-07-23**|**Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data**|Qibing Bai et.al.|[2507.17735](http://arxiv.org/abs/2507.17735)|null|
|**2025-07-23**|**Flow Matching Meets Biology and Life Science: A Survey**|Zihao Li et.al.|[2507.17731](http://arxiv.org/abs/2507.17731)|null|
|**2025-07-23**|**SADA: Stability-guided Adaptive Diffusion Acceleration**|Ting Jiang et.al.|[2507.17135](http://arxiv.org/abs/2507.17135)|null|
|**2025-07-23**|**EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion**|Shang Liu et.al.|[2507.16535](http://arxiv.org/abs/2507.16535)|null|
|**2025-07-23**|**MoDA: Multi-modal Diffusion Architecture for Talking Head Generation**|Xinyang Li et.al.|[2507.03256](http://arxiv.org/abs/2507.03256)|null|
|**2025-07-23**|**Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning**|Prajwal Koirala et.al.|[2506.21427](http://arxiv.org/abs/2506.21427)|null|
|**2025-07-22**|**SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling**|Yi Guo et.al.|[2507.16884](http://arxiv.org/abs/2507.16884)|null|
|**2025-07-22**|**LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation**|Jyun-Ze Tang et.al.|[2507.16154](http://arxiv.org/abs/2507.16154)|null|
|**2025-07-22**|**Livatar-1: Real-Time Talking Heads Generation with Tailored Flow Matching**|Haiyang Liu et.al.|[2507.18649](http://arxiv.org/abs/2507.18649)|null|
|**2025-07-21**|**Source Separation by Flow Matching**|Robin Scheibler et.al.|[2505.16119](http://arxiv.org/abs/2505.16119)|null|
|**2025-07-20**|**Reinforcement Learning for Flow-Matching Policies**|Samuel Pfrommer et.al.|[2507.15073](http://arxiv.org/abs/2507.15073)|null|
|**2025-07-20**|**Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis**|Bo Liang et.al.|[2507.11192](http://arxiv.org/abs/2507.11192)|null|
|**2025-07-20**|**Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective**|Xiaoming Zhao et.al.|[2503.10638](http://arxiv.org/abs/2503.10638)|null|
|**2025-07-20**|**FlexiClip: Locality-Preserving Free-Form Character Animation**|Anant Khandelwal et.al.|[2501.08676](http://arxiv.org/abs/2501.08676)|null|
|**2025-07-19**|**Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation**|Andrea Moschetto et.al.|[2507.14575](http://arxiv.org/abs/2507.14575)|null|
|**2025-07-19**|**GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data**|Shengliang Deng et.al.|[2505.03233](http://arxiv.org/abs/2505.03233)|null|
|**2025-07-17**|**Hierarchical Rectified Flow Matching with Mini-Batch Couplings**|Yichi Zhang et.al.|[2507.13350](http://arxiv.org/abs/2507.13350)|null|
|**2025-07-17**|**VITA: Vision-to-Action Flow Matching Policy**|Dechen Gao et.al.|[2507.13231](http://arxiv.org/abs/2507.13231)|null|
|**2025-07-17**|**Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models**|Arian Mousakhan et.al.|[2507.13162](http://arxiv.org/abs/2507.13162)|null|
|**2025-07-17**|**Gauge Flow Models**|Alexander Strunk et.al.|[2507.13414](http://arxiv.org/abs/2507.13414)|null|
|**2025-07-16**|**Quantize More, Lose Less: Autoregressive Generation from Residually Quantized Speech Representations**|Yichen Han et.al.|[2507.12197](http://arxiv.org/abs/2507.12197)|null|
|**2025-07-16**|**Room Impulse Response Generation Conditioned on Acoustic Parameters**|Silvia Arellano et.al.|[2507.12136](http://arxiv.org/abs/2507.12136)|null|
|**2025-07-16**|**CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching**|Sidharth Kannan et.al.|[2507.11842](http://arxiv.org/abs/2507.11842)|null|
|**2025-07-16**|**SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling**|Andrei Rekesh et.al.|[2507.11818](http://arxiv.org/abs/2507.11818)|null|
|**2025-07-16**|**Minimalist Concept Erasure in Generative Models**|Yang Zhang et.al.|[2507.13386](http://arxiv.org/abs/2507.13386)|null|
|**2025-07-16**|**Accurate generation of chemical reaction transition states by conditional flow matching**|Ping Tuo et.al.|[2507.10530](http://arxiv.org/abs/2507.10530)|null|
|**2025-07-16**|**NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting**|Huibo Xu et.al.|[2507.09888](http://arxiv.org/abs/2507.09888)|null|
|**2025-07-16**|**Flow-GRPO: Training Flow Matching Models via Online RL**|Jie Liu et.al.|[2505.05470](http://arxiv.org/abs/2505.05470)|null|
|**2025-07-15**|**EXPO: Stable Reinforcement Learning with Expressive Policies**|Perry Dong et.al.|[2507.07986](http://arxiv.org/abs/2507.07986)|null|
|**2025-07-15**|**Compositional Flows for 3D Molecule and Synthesis Pathway Co-design**|Tony Shen et.al.|[2504.08051](http://arxiv.org/abs/2504.08051)|null|
|**2025-07-15**|**Scalable Multi-temperature Free Energy Sampling of the Alchemical Space**|Ping Tuo et.al.|[2503.08063](http://arxiv.org/abs/2503.08063)|null|
|**2025-07-14**|**Flows and Diffusions on the Neural Manifold**|Daniel Saragih et.al.|[2507.10623](http://arxiv.org/abs/2507.10623)|null|
|**2025-07-14**|**Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching**|Huibo Xu et.al.|[2507.07192](http://arxiv.org/abs/2507.07192)|null|
|**2025-07-14**|**DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering**|Rongjia Zheng et.al.|[2507.03924](http://arxiv.org/abs/2507.03924)|null|
|**2025-07-13**|**Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow**|Zhonglin Cao et.al.|[2507.09785](http://arxiv.org/abs/2507.09785)|null|
|**2025-07-13**|**La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching**|Tomas Geffner et.al.|[2507.09466](http://arxiv.org/abs/2507.09466)|null|
|**2025-07-13**|**Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies**|Tianyuan Zheng et.al.|[2411.18568](http://arxiv.org/abs/2411.18568)|null|
|**2025-07-12**|**ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching**|Han Zhu et.al.|[2507.09318](http://arxiv.org/abs/2507.09318)|null|
|**2025-07-12**|**Warm Starts Accelerate Generative Modelling**|Jonas Scholz et.al.|[2507.09212](http://arxiv.org/abs/2507.09212)|null|
|**2025-07-12**|**CoVAE: Consistency Training of Variational Autoencoders**|Gianluigi Silvestri et.al.|[2507.09103](http://arxiv.org/abs/2507.09103)|null|
|**2025-07-12**|**An Introduction to Flow Matching and Diffusion Models**|Peter Holderrieth et.al.|[2506.02070](http://arxiv.org/abs/2506.02070)|null|
|**2025-07-11**|**Open Materials Generation with Stochastic Interpolants**|Philipp Hoellmer et.al.|[2502.02582](http://arxiv.org/abs/2502.02582)|null|
|**2025-07-11**|**Local Flow Matching Generative Models**|Chen Xu et.al.|[2410.02548](http://arxiv.org/abs/2410.02548)|null|
|**2025-07-11**|**MuCodec: Ultra Low-Bitrate Music Codec**|Yaoxun Xu et.al.|[2409.13216](http://arxiv.org/abs/2409.13216)|null|
|**2025-07-10**|**UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching**|Neta Glazer et.al.|[2506.09874](http://arxiv.org/abs/2506.09874)|null|
|**2025-07-10**|**GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving**|Zebin Xing et.al.|[2503.05689](http://arxiv.org/abs/2503.05689)|null|
|**2025-07-09**|**Pullback Flow Matching on Data Manifolds**|Friso de Kruiff et.al.|[2410.04543](http://arxiv.org/abs/2410.04543)|null|
|**2025-07-08**|**StreamDiT: Real-Time Streaming Text-to-Video Generation**|Akio Kodaira et.al.|[2507.03745](http://arxiv.org/abs/2507.03745)|null|
|**2025-07-08**|**Humanoid World Models: Open World Foundation Models for Humanoid Robotics**|Muhammad Qasim Ali et.al.|[2506.01182](http://arxiv.org/abs/2506.01182)|null|
|**2025-07-08**|**Pretrained Reversible Generation as Unsupervised Visual Representation Learning**|Rongkun Xue et.al.|[2412.01787](http://arxiv.org/abs/2412.01787)|null|
|**2025-07-07**|**MolFORM: Multi-modal Flow Matching for Structure-Based Drug Design**|Jie Huang et.al.|[2507.05503](http://arxiv.org/abs/2507.05503)|null|
|**2025-07-07**|**PropMolFlow: Property-guided Molecule Generation with Geometry-Complete Flow Matching**|Cheng Zeng et.al.|[2505.21469](http://arxiv.org/abs/2505.21469)|null|
|**2025-07-06**|**TTS-CtrlNet: Time varying emotion aligned text-to-speech generation with ControlNet**|Jaeseok Jeong et.al.|[2507.04349](http://arxiv.org/abs/2507.04349)|null|
|**2025-07-05**|**TrajFlow: Multi-modal Motion Prediction via Flow Matching**|Qi Yan et.al.|[2506.08541](http://arxiv.org/abs/2506.08541)|null|
|**2025-07-04**|**Flow-Anchored Consistency Models**|Yansong Peng et.al.|[2507.03738](http://arxiv.org/abs/2507.03738)|null|
|**2025-07-04**|**All-atom inverse protein folding through discrete flow matching**|Kai Yi et.al.|[2507.14156](http://arxiv.org/abs/2507.14156)|null|
|**2025-07-04**|**Pronunciation Editing for Finnish Speech using Phonetic Posteriorgrams**|Zirui Li et.al.|[2507.02115](http://arxiv.org/abs/2507.02115)|null|
|**2025-07-04**|**Serenade: A Singing Style Conversion Framework Based On Audio Infilling**|Lester Phillip Violeta et.al.|[2503.12388](http://arxiv.org/abs/2503.12388)|null|
|**2025-07-03**|**DexVLG: Dexterous Vision-Language-Grasp Model at Scale**|Jiawei He et.al.|[2507.02747](http://arxiv.org/abs/2507.02747)|null|
|**2025-07-03**|**FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model**|Jiangxia Chen et.al.|[2507.02250](http://arxiv.org/abs/2507.02250)|null|
|**2025-07-03**|**Flow Matching on Lie Groups**|Finn M. Sherry et.al.|[2504.00494](http://arxiv.org/abs/2504.00494)|null|
|**2025-07-03**|**Bi-modality medical images synthesis by a bi-directional discrete process matching method**|Zhe Xiong et.al.|[2409.03977](http://arxiv.org/abs/2409.03977)|null|
|**2025-07-02**|**ODE $_t$(ODE$_l$ ): Shortcutting the Time and Length in Diffusion and Flow Models for Faster Sampling**|Denis Gudovskiy et.al.|[2506.21714](http://arxiv.org/abs/2506.21714)|null|
|**2025-07-01**|**StreamFlow: Streaming Flow Matching with Block-wise Guided Attention Mask for Speech Token Decoding**|Dake Guo et.al.|[2506.23986](http://arxiv.org/abs/2506.23986)|null|
|**2025-07-01**|**Flow-Modulated Scoring for Semantic-Aware Knowledge Graph Completion**|Siyuan Li et.al.|[2506.23137](http://arxiv.org/abs/2506.23137)|null|
|**2025-07-01**|**Dehazing Light Microscopy Images with Guided Conditional Flow Matching: finding a sweet spot between fidelity and realism**|Anirban Ray et.al.|[2506.22397](http://arxiv.org/abs/2506.22397)|null|
|**2025-06-30**|**Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis**|Paul Mayer et.al.|[2507.00227](http://arxiv.org/abs/2507.00227)|null|
|**2025-06-30**|**Transition Matching: Scalable and Flexible Generative Modeling**|Neta Shaul et.al.|[2506.23589](http://arxiv.org/abs/2506.23589)|null|
|**2025-06-30**|**JAM-Flow: Joint Audio-Motion Synthesis with Flow Matching**|Mingi Kwon et.al.|[2506.23552](http://arxiv.org/abs/2506.23552)|null|
|**2025-06-30**|**Towards foundational LiDAR world models with efficient latent flow matching**|Tianran Liu et.al.|[2506.23434](http://arxiv.org/abs/2506.23434)|null|
|**2025-06-30**|**ETTA: Elucidating the Design Space of Text-to-Audio Models**|Sang-gil Lee et.al.|[2412.19351](http://arxiv.org/abs/2412.19351)|null|
|**2025-06-30**|**Grid: Omni Visual Generation**|Cong Wan et.al.|[2412.10718](http://arxiv.org/abs/2412.10718)|null|
|**2025-06-29**|**FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait**|Taekyung Ki et.al.|[2412.01064](http://arxiv.org/abs/2412.01064)|null|
|**2025-06-27**|**Unfolding Generative Flows with Koopman Operators: Fast and Interpretable Sampling**|Erkan Turan et.al.|[2506.22304](http://arxiv.org/abs/2506.22304)|null|
|**2025-06-26**|**Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional**|Sanjeev Raja et.al.|[2504.18506](http://arxiv.org/abs/2504.18506)|null|
|**2025-06-26**|**Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling**|Michal Balcerak et.al.|[2504.10612](http://arxiv.org/abs/2504.10612)|null|
|**2025-06-26**|**SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations**|Grigory Bartosh et.al.|[2502.02472](http://arxiv.org/abs/2502.02472)|null|
|**2025-06-25**|**Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data**|Lingkai Kong et.al.|[2505.23062](http://arxiv.org/abs/2505.23062)|null|
|**2025-06-24**|**Improving Progressive Generation with Decomposable Flow Matching**|Moayed Haji-Ali et.al.|[2506.19839](http://arxiv.org/abs/2506.19839)|null|
|**2025-06-24**|**Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation**|Jun Wang et.al.|[2506.19774](http://arxiv.org/abs/2506.19774)|null|
|**2025-06-24**|**FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space**|Black Forest Labs et.al.|[2506.15742](http://arxiv.org/abs/2506.15742)|null|
|**2025-06-23**|**Efficient many-jet event generation with Flow Matching**|Enrico Bothmann et.al.|[2506.18987](http://arxiv.org/abs/2506.18987)|null|
|**2025-06-23**|**Learning Physical Systems: Symplectification via Gauge Fixing in Dirac Structures**|Aristotelis Papatheodorou et.al.|[2506.18812](http://arxiv.org/abs/2506.18812)|null|
|**2025-06-23**|**ContinualFlow: Learning and Unlearning with Neural Flow Matching**|Lorenzo Simone et.al.|[2506.18747](http://arxiv.org/abs/2506.18747)|null|
|**2025-06-23**|**Controlled Generation with Equivariant Variational Flow Matching**|Floor Eijkelboom et.al.|[2506.18340](http://arxiv.org/abs/2506.18340)|null|
|**2025-06-23**|**Bures-Wasserstein Flow Matching for Graph Generation**|Keyue Jiang et.al.|[2506.14020](http://arxiv.org/abs/2506.14020)|null|
|**2025-06-23**|**Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation**|Yoann Boget et.al.|[2503.21592](http://arxiv.org/abs/2503.21592)|null|
|**2025-06-23**|**One Step Diffusion via Shortcut Models**|Kevin Frans et.al.|[2410.12557](http://arxiv.org/abs/2410.12557)|null|
|**2025-06-22**|**Hierarchical Control of Emotion Rendering in Speech Synthesis**|Sho Inoue et.al.|[2412.12498](http://arxiv.org/abs/2412.12498)|null|
|**2025-06-20**|**Deep generative models as the probability transformation functions**|Vitalii Bondar et.al.|[2506.17171](http://arxiv.org/abs/2506.17171)|null|
|**2025-06-20**|**RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching**|Hyun Joon Park et.al.|[2506.16741](http://arxiv.org/abs/2506.16741)|null|
|**2025-06-20**|**Show-o2: Improved Native Unified Multimodal Models**|Jinheng Xie et.al.|[2506.15564](http://arxiv.org/abs/2506.15564)|null|
|**2025-06-20**|**ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching**|Han Zhu et.al.|[2506.13053](http://arxiv.org/abs/2506.13053)|null|
|**2025-06-19**|**Generating Directed Graphs with Dual Attention and Asymmetric Encoding**|Alba Carballo-Castro et.al.|[2506.16404](http://arxiv.org/abs/2506.16404)|null|
|**2025-06-19**|**FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation**|Sen Wang et.al.|[2506.16201](http://arxiv.org/abs/2506.16201)|null|
|**2025-06-19**|**Improved Intelligibility of Dysarthric Speech using Conditional Flow Matching**|Shoutrik Das et.al.|[2506.16127](http://arxiv.org/abs/2506.16127)|null|
|**2025-06-19**|**MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior**|Liangyan Li et.al.|[2506.15929](http://arxiv.org/abs/2506.15929)|null|
|**2025-06-19**|**ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning**|Tonghe Zhang et.al.|[2505.22094](http://arxiv.org/abs/2505.22094)|null|
|**2025-06-19**|**Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans**|Christian Wald et.al.|[2501.16839](http://arxiv.org/abs/2501.16839)|null|
|**2025-06-18**|**Minimizing Structural Vibrations via Guided Flow Matching Design Optimization**|Jan van Delden et.al.|[2506.15263](http://arxiv.org/abs/2506.15263)|null|
|**2025-06-17**|**Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching**|Giacomo Meanti et.al.|[2506.14605](http://arxiv.org/abs/2506.14605)|null|
|**2025-06-17**|**Align Your Flow: Scaling Continuous-Time Flow Map Distillation**|Amirmojtaba Sabour et.al.|[2506.14603](http://arxiv.org/abs/2506.14603)|null|
|**2025-06-16**|**SpeechRefiner: Towards Perceptual Quality Refinement for Front-End Algorithms**|Sirui Li et.al.|[2506.13709](http://arxiv.org/abs/2506.13709)|null|
|**2025-06-15**|**DeFoG: Discrete Flow Matching for Graph Generation**|Yiming Qin et.al.|[2410.04263](http://arxiv.org/abs/2410.04263)|null|
|**2025-06-13**|**Learning to Integrate**|Oliver G. Ernst et.al.|[2506.11801](http://arxiv.org/abs/2506.11801)|null|
|**2025-06-12**|**Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models**|Francisco Caetano et.al.|[2506.10634](http://arxiv.org/abs/2506.10634)|null|
|**2025-06-12**|**Generative Uncertainty in Diffusion Models**|Metod Jazbec et.al.|[2502.20946](http://arxiv.org/abs/2502.20946)|null|
|**2025-06-11**|**Synthetic Geology -- Structural Geology Meets Deep Learning**|Simon Ghyselincks et.al.|[2506.11164](http://arxiv.org/abs/2506.11164)|null|
|**2025-06-11**|**Momentum Multi-Marginal Schrödinger Bridge Matching**|Panagiotis Theodoropoulos et.al.|[2506.10168](http://arxiv.org/abs/2506.10168)|null|
|**2025-06-11**|**Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation**|Or Tal et.al.|[2506.08570](http://arxiv.org/abs/2506.08570)|null|
|**2025-06-11**|**ContentV: Efficient Training of Video Generation Models with Limited Compute**|Wenfeng Lin et.al.|[2506.05343](http://arxiv.org/abs/2506.05343)|null|
|**2025-06-10**|**UFM: A Simple Path towards Unified Dense Correspondence with Flow**|Yuchen Zhang et.al.|[2506.09278](http://arxiv.org/abs/2506.09278)|null|
|**2025-06-10**|**CFMI: Flow Matching for Missing Data Imputation**|Vaidotas Simkus et.al.|[2506.09258](http://arxiv.org/abs/2506.09258)|null|
|**2025-06-10**|**Edit Flows: Flow Matching with Edit Operations**|Marton Havasi et.al.|[2506.09018](http://arxiv.org/abs/2506.09018)|null|
|**2025-06-10**|**Branched Schrödinger Bridge Matching**|Sophia Tang et.al.|[2506.09007](http://arxiv.org/abs/2506.09007)|null|
|**2025-06-10**|**Intention-Conditioned Flow Occupancy Models**|Chongyi Zheng et.al.|[2506.08902](http://arxiv.org/abs/2506.08902)|null|
|**2025-06-10**|**Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling**|Zhiyuan Ma et.al.|[2506.08796](http://arxiv.org/abs/2506.08796)|null|
|**2025-06-10**|**Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation**|Giacomo Baldan et.al.|[2506.08604](http://arxiv.org/abs/2506.08604)|null|
|**2025-06-10**|**A Review on Score-based Generative Models for Audio Applications**|Ge Zhu et.al.|[2506.08457](http://arxiv.org/abs/2506.08457)|null|
|**2025-06-10**|**LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer**|Ying Shen et.al.|[2506.06952](http://arxiv.org/abs/2506.06952)|null|
|**2025-06-10**|**Spatial Reasoning with Denoising Models**|Christopher Wewer et.al.|[2502.21075](http://arxiv.org/abs/2502.21075)|null|
|**2025-06-09**|**FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling**|Sifan Wang et.al.|[2506.07902](http://arxiv.org/abs/2506.07902)|null|
|**2025-06-08**|**Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching**|Ben Hayes et.al.|[2506.07199](http://arxiv.org/abs/2506.07199)|null|
|**2025-06-08**|**GGBall: Graph Generative Model on Poincaré Ball**|Tianci Bu et.al.|[2506.07198](http://arxiv.org/abs/2506.07198)|null|
|**2025-06-06**|**Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning**|Sheng Chen et.al.|[2506.06205](http://arxiv.org/abs/2506.06205)|null|
|**2025-06-06**|**ENMA: Tokenwise Autoregression for Generative Neural PDE Operators**|Armand Kassaï Koupaï et.al.|[2506.06158](http://arxiv.org/abs/2506.06158)|null|
|**2025-06-06**|**Exponential Family Variational Flow Matching for Tabular Data Generation**|Andrés Guzmán-Cordero et.al.|[2506.05940](http://arxiv.org/abs/2506.05940)|null|
|**2025-06-06**|**FlowOE: Imitation Learning with Flow Policy from Ensemble RL Experts for Optimal Execution under Heston Volatility and Concave Market Impacts**|Yang Li et.al.|[2506.05755](http://arxiv.org/abs/2506.05755)|null|
|**2025-06-06**|**Contrastive Flow Matching**|George Stoica et.al.|[2506.05350](http://arxiv.org/abs/2506.05350)|null|
|**2025-06-06**|**Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation**|Mu Yang et.al.|[2411.05141](http://arxiv.org/abs/2411.05141)|null|
|**2025-06-05**|**Aligning Latent Spaces with Flow Priors**|Yizhuo Li et.al.|[2506.05240](http://arxiv.org/abs/2506.05240)|null|
|**2025-06-04**|**RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis**|Robin Yadav et.al.|[2506.04439](http://arxiv.org/abs/2506.04439)|null|
|**2025-06-04**|**Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints**|Utkarsh Utkarsh et.al.|[2506.04171](http://arxiv.org/abs/2506.04171)|null|
|**2025-06-04**|**On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity**|Quentin Bertrand et.al.|[2506.03719](http://arxiv.org/abs/2506.03719)|null|
|**2025-06-04**|**Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields**|Md Shahriar Rahim Siddiqui et.al.|[2505.24434](http://arxiv.org/abs/2505.24434)|null|
|**2025-06-04**|**Accelerating Flow-Matching-Based Text-to-Speech via Empirically Pruned Step Sampling**|Qixi Zheng et.al.|[2505.19931](http://arxiv.org/abs/2505.19931)|null|
|**2025-06-04**|**VCT: Training Consistency Models with Variational Noise Coupling**|Gianluigi Silvestri et.al.|[2502.18197](http://arxiv.org/abs/2502.18197)|null|
|**2025-06-04**|**FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching**|Joongwon Lee et.al.|[2502.15805](http://arxiv.org/abs/2502.15805)|null|
|**2025-06-03**|**UniConFlow: A Unified Constrained Generalization Framework for Certified Motion Planning with Flow Matching Models**|Zewen Yang et.al.|[2506.02955](http://arxiv.org/abs/2506.02955)|null|
|**2025-06-03**|**LayoutRAG: Retrieval-Augmented Model for Content-agnostic Conditional Layout Generation**|Yuxuan Wu et.al.|[2506.02697](http://arxiv.org/abs/2506.02697)|null|
|**2025-06-03**|**Solving Inverse Problems with FLAIR**|Julius Erbach et.al.|[2506.02680](http://arxiv.org/abs/2506.02680)|null|
|**2025-06-03**|**Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges**|Tao Zhong et.al.|[2506.02489](http://arxiv.org/abs/2506.02489)|null|
|**2025-06-03**|**CellFlux: Simulating Cellular Morphology Changes via Flow Matching**|Yuhui Zhang et.al.|[2502.09775](http://arxiv.org/abs/2502.09775)|null|
|**2025-06-03**|**Generative Unordered Flow for Set-Structured Data Generation**|Yangming Li et.al.|[2501.17770](http://arxiv.org/abs/2501.17770)|null|
|**2025-06-03**|**Elucidating Flow Matching ODE Dynamics with Respect to Data Geometries and Denoisers**|Zhengchao Wan et.al.|[2412.18730](http://arxiv.org/abs/2412.18730)|null|
|**2025-06-03**|**Flow map matching with stochastic interpolants: A mathematical framework for consistency models**|Nicholas M. Boffi et.al.|[2406.07507](http://arxiv.org/abs/2406.07507)|null|
|**2025-06-02**|**Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment**|Johannes Schusterbauer et.al.|[2506.02221](http://arxiv.org/abs/2506.02221)|null|
|**2025-06-02**|**ARFlow: Human Action-Reaction Flow Matching with Physical Guidance**|Wentao Jiang et.al.|[2503.16973](http://arxiv.org/abs/2503.16973)|null|
|**2025-06-02**|**Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion Models**|Khaled Kahouli et.al.|[2502.08598](http://arxiv.org/abs/2502.08598)|null|
|**2025-06-02**|**Random Policy Evaluation Uncovers Policies of Generative Flow Networks**|Haoran He et.al.|[2406.02213](http://arxiv.org/abs/2406.02213)|null|
|**2025-06-01**|**FORT: Forward-Only Regression Training of Normalizing Flows**|Danyal Rehman et.al.|[2506.01158](http://arxiv.org/abs/2506.01158)|null|
|**2025-06-01**|**Rhythm Controllable and Efficient Zero-Shot Voice Conversion via Shortcut Flow Matching**|Jialong Zuo et.al.|[2506.01014](http://arxiv.org/abs/2506.01014)|null|
|**2025-06-01**|**CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching**|Leying Zhang et.al.|[2506.00885](http://arxiv.org/abs/2506.00885)|null|
|**2025-06-01**|**FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling**|Haixin Wang et.al.|[2506.00862](http://arxiv.org/abs/2506.00862)|null|
|**2025-05-31**|**SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation**|Xingtong Ge et.al.|[2506.00523](http://arxiv.org/abs/2506.00523)|null|
|**2025-05-30**|**TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching**|Shengyuan Liu et.al.|[2505.24687](http://arxiv.org/abs/2505.24687)|null|
|**2025-05-30**|**Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion**|Kaidi Wang et.al.|[2505.24291](http://arxiv.org/abs/2505.24291)|null|
|**2025-05-30**|**STORK: Improving the Fidelity of Mid-NFE Sampling for Diffusion and Flow Matching Models**|Zheng Tan et.al.|[2505.24210](http://arxiv.org/abs/2505.24210)|null|
|**2025-05-30**|**Versatile Framework for Song Generation with Prompt-based Control**|Yu Zhang et.al.|[2504.19062](http://arxiv.org/abs/2504.19062)|null|
|**2025-05-30**|**Sundial: A Family of Highly Capable Time Series Foundation Models**|Yong Liu et.al.|[2502.00816](http://arxiv.org/abs/2502.00816)|null|
|**2025-05-30**|**V2SFlow: Video-to-Speech Generation with Speech Decomposition and Rectified Flow**|Jeongsoo Choi et.al.|[2411.19486](http://arxiv.org/abs/2411.19486)|null|
|**2025-05-29**|**Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better**|Danny Driess et.al.|[2505.23705](http://arxiv.org/abs/2505.23705)|null|
|**2025-05-29**|**Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching**|Yexiong Lin et.al.|[2505.23346](http://arxiv.org/abs/2505.23346)|null|
|**2025-05-29**|**Trajectory Generator Matching for Time Series**|T. Jahn et.al.|[2505.23215](http://arxiv.org/abs/2505.23215)|null|
|**2025-05-29**|**Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface**|Siyeop Yoon et.al.|[2505.22511](http://arxiv.org/abs/2505.22511)|null|
|**2025-05-29**|**Aligning Text to Image in Diffusion Models is Easier Than You Think**|Jaa-Yeon Lee et.al.|[2503.08250](http://arxiv.org/abs/2503.08250)|null|
|**2025-05-29**|**INRFlow: Flow Matching for INRs in Ambient Space**|Yuyang Wang et.al.|[2412.03791](http://arxiv.org/abs/2412.03791)|null|
|**2025-05-28**|**BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models**|Susan Liang et.al.|[2505.22865](http://arxiv.org/abs/2505.22865)|null|
|**2025-05-28**|**FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators**|Guy Moss et.al.|[2505.22573](http://arxiv.org/abs/2505.22573)|null|
|**2025-05-28**|**AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion**|Junqi Zhao et.al.|[2505.22106](http://arxiv.org/abs/2505.22106)|null|
|**2025-05-28**|**Differentiable Generalized Sliced Wasserstein Plans**|Laetitia Chapel et.al.|[2505.22049](http://arxiv.org/abs/2505.22049)|null|
|**2025-05-28**|**Streaming Flow Policy: Simplifying diffusion $/$ flow-matching policies by treating action trajectories as flow trajectories**|Sunshine Jiang et.al.|[2505.21851](http://arxiv.org/abs/2505.21851)|null|
|**2025-05-28**|**A Variational Perspective on Generative Protein Fitness Optimization**|Lea Bogensperger et.al.|[2501.19200](http://arxiv.org/abs/2501.19200)|null|
|**2025-05-28**|**EventFlow: Forecasting Temporal Point Processes with Flow Matching**|Gavin Kerrigan et.al.|[2410.07430](http://arxiv.org/abs/2410.07430)|null|
|**2025-05-27**|**OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers**|Ziqiao Peng et.al.|[2505.21448](http://arxiv.org/abs/2505.21448)|null|
|**2025-05-27**|**Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing**|Jeongsoo Choi et.al.|[2505.20899](http://arxiv.org/abs/2505.20899)|null|
|**2025-05-27**|**LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation**|Pascal Zwick et.al.|[2505.20723](http://arxiv.org/abs/2505.20723)|null|
|**2025-05-27**|**FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching**|Ziqian Wang et.al.|[2505.19476](http://arxiv.org/abs/2505.19476)|null|
|**2025-05-27**|**CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training**|Zhihao Du et.al.|[2505.17589](http://arxiv.org/abs/2505.17589)|null|
|**2025-05-27**|**Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model**|Kotaro Ikeda et.al.|[2504.03188](http://arxiv.org/abs/2504.03188)|null|
|**2025-05-27**|**On the Guidance of Flow Matching**|Ruiqi Feng et.al.|[2502.02150](http://arxiv.org/abs/2502.02150)|null|
|**2025-05-27**|**Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling**|Mohammad R. Rezaei et.al.|[2409.14599](http://arxiv.org/abs/2409.14599)|null|
|**2025-05-26**|**Gradient Flow Matching for Learning Update Dynamics in Neural Network Training**|Xiao Shou et.al.|[2505.20221](http://arxiv.org/abs/2505.20221)|null|
|**2025-05-26**|**PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction**|Kanglei Zhou et.al.|[2505.19972](http://arxiv.org/abs/2505.19972)|null|
|**2025-05-26**|**Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning**|Quentin Rouxel et.al.|[2505.19717](http://arxiv.org/abs/2505.19717)|null|
|**2025-05-26**|**On the Relation between Rectified Flows and Optimal Transport**|Johannes Hertrich et.al.|[2505.19712](http://arxiv.org/abs/2505.19712)|null|
|**2025-05-26**|**FireRedTTS-1S: An Upgraded Streamable Foundation Text-to-Speech System**|Hao-Han Guo et.al.|[2503.20499](http://arxiv.org/abs/2503.20499)|null|
|**2025-05-26**|**VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension**|Zeyu Ling et.al.|[2411.17335](http://arxiv.org/abs/2411.17335)|null|
|**2025-05-25**|**Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching**|Tinglin Huang et.al.|[2506.05361](http://arxiv.org/abs/2506.05361)|null|
|**2025-05-25**|**Flow Q-Learning**|Seohong Park et.al.|[2502.02538](http://arxiv.org/abs/2502.02538)|null|
|**2025-05-24**|**High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction**|Seongsu Kim et.al.|[2505.18817](http://arxiv.org/abs/2505.18817)|null|
|**2025-05-24**|**Equivariant Flow Matching for Point Cloud Assembly**|Ziming Wang et.al.|[2505.21539](http://arxiv.org/abs/2505.21539)|null|
|**2025-05-24**|**Flow Matching for Geometric Trajectory Simulation**|Kiet Bennema ten Brinke et.al.|[2505.18647](http://arxiv.org/abs/2505.18647)|null|
|**2025-05-23**|**Applications of Modular Co-Design for De Novo 3D Molecule Generation**|Danny Reidenbach et.al.|[2505.18392](http://arxiv.org/abs/2505.18392)|null|
|**2025-05-23**|**Flexible MOF Generation with Torsion-Aware Flow Matching**|Nayoung Kim et.al.|[2505.17914](http://arxiv.org/abs/2505.17914)|null|
|**2025-05-23**|**EZ-VC: Easy Zero-shot Any-to-Any Voice Conversion**|Advait Joglekar et.al.|[2505.16691](http://arxiv.org/abs/2505.16691)|null|
|**2025-05-23**|**Efficient Flow Matching using Latent Variables**|Anirban Samaddar et.al.|[2505.04486](http://arxiv.org/abs/2505.04486)|null|
|**2025-05-22**|**Forward-only Diffusion Probabilistic Models**|Ziwei Luo et.al.|[2505.16733](http://arxiv.org/abs/2505.16733)|null|
|**2025-05-22**|**MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation**|Bohan Zhou et.al.|[2505.16602](http://arxiv.org/abs/2505.16602)|null|
|**2025-05-22**|**Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization**|Noémie Bergues et.al.|[2506.06305](http://arxiv.org/abs/2506.06305)|null|
|**2025-05-22**|**Flow Matching based Sequential Recommender Model**|Feng Liu et.al.|[2505.16298](http://arxiv.org/abs/2505.16298)|null|
|**2025-05-22**|**FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions**|Yang Li et.al.|[2505.05784](http://arxiv.org/abs/2505.05784)|null|
|**2025-05-22**|**Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms**|Krunoslav Lehman Pavasovic et.al.|[2502.07849](http://arxiv.org/abs/2502.07849)|null|
|**2025-05-21**|**PO-Flow: Flow-based Generative Models for Sampling Potential Outcomes and Counterfactuals**|Dongze Wu et.al.|[2505.16051](http://arxiv.org/abs/2505.16051)|null|
|**2025-05-21**|**Graph Conditional Flow Matching for Relational Data Generation**|Davide Scassola et.al.|[2505.15668](http://arxiv.org/abs/2505.15668)|null|
|**2025-05-20**|**Latent Flow Transformer**|Yen-Chen Wu et.al.|[2505.14513](http://arxiv.org/abs/2505.14513)|null|
|**2025-05-20**|**FlowTSE: Target Speaker Extraction with Flow Matching**|Aviv Navon et.al.|[2505.14465](http://arxiv.org/abs/2505.14465)|null|
|**2025-05-20**|**FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning**|Marvin Alles et.al.|[2505.14139](http://arxiv.org/abs/2505.14139)|null|
|**2025-05-20**|**Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry**|Antoine Collas et.al.|[2505.18193](http://arxiv.org/abs/2505.18193)|null|
|**2025-05-20**|**ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech**|Yu Pan et.al.|[2505.13805](http://arxiv.org/abs/2505.13805)|null|
|**2025-05-20**|**Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems**|Jeffrey Alido et.al.|[2505.10311](http://arxiv.org/abs/2505.10311)|null|
|**2025-05-20**|**Unified Continuous Generative Models**|Peng Sun et.al.|[2505.07447](http://arxiv.org/abs/2505.07447)|null|
|**2025-05-20**|**F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching**|Yushen Chen et.al.|[2410.06885](http://arxiv.org/abs/2410.06885)|null|
|**2025-05-19**|**Mean Flows for One-step Generative Modeling**|Zhengyang Geng et.al.|[2505.13447](http://arxiv.org/abs/2505.13447)|null|
|**2025-05-19**|**Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling**|Dongyi Wang et.al.|[2505.13413](http://arxiv.org/abs/2505.13413)|null|
|**2025-05-19**|**RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers**|Ahmet Berke Gokmen et.al.|[2505.13344](http://arxiv.org/abs/2505.13344)|null|
|**2025-05-19**|**FlowPure: Continuous Normalizing Flows for Adversarial Purification**|Elias Collaert et.al.|[2505.13280](http://arxiv.org/abs/2505.13280)|null|
|**2025-05-19**|**Generative Modeling of Random Fields from Limited Data via Constrained Latent Flow Matching**|James E. Warner et.al.|[2505.13007](http://arxiv.org/abs/2505.13007)|null|
|**2025-05-19**|**OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching**|Hieu-Nghia Huynh-Nguyen et.al.|[2505.12800](http://arxiv.org/abs/2505.12800)|null|
|**2025-05-19**|**SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation**|Junsong Chen et.al.|[2503.09641](http://arxiv.org/abs/2503.09641)|null|
|**2025-05-18**|**Model alignment using inter-modal bridges**|Ali Gholamzadeh et.al.|[2505.12322](http://arxiv.org/abs/2505.12322)|null|
|**2025-05-18**|**Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis**|Dong Yang et.al.|[2505.12226](http://arxiv.org/abs/2505.12226)|null|
|**2025-05-18**|**Linear combinations of latents in generative models: subspaces and beyond**|Erik Bodin et.al.|[2408.08558](http://arxiv.org/abs/2408.08558)|null|
|**2025-05-17**|**Wasserstein Flow Matching: Generative modeling over families of distributions**|Doron Haviv et.al.|[2411.00698](http://arxiv.org/abs/2411.00698)|null|
|**2025-05-16**|**Conditioning Matters: Training Diffusion Policies is Faster Than You Think**|Zibin Dong et.al.|[2505.11123](http://arxiv.org/abs/2505.11123)|null|
|**2025-05-16**|**SlimSpeech: Lightweight and Efficient Text-to-Speech with Slim Rectified Flow**|Kaidi Wang et.al.|[2504.07776](http://arxiv.org/abs/2504.07776)|null|
|**2025-05-16**|**SupertonicTTS: Towards Highly Scalable and Efficient Text-to-Speech System**|Hyeongju Kim et.al.|[2503.23108](http://arxiv.org/abs/2503.23108)|null|
|**2025-05-16**|**Bayesian Inverse Problems Meet Flow Matching: Efficient and Flexible Inference via Transformers**|Daniil Sherki et.al.|[2503.01375](http://arxiv.org/abs/2503.01375)|null|
|**2025-05-16**|**Fast and Robust Visuomotor Riemannian Flow Matching Policy**|Haoran Ding et.al.|[2412.10855](http://arxiv.org/abs/2412.10855)|null|
|**2025-05-15**|**Path Gradients after Flow Matching**|Lorenz Vaitl et.al.|[2505.10139](http://arxiv.org/abs/2505.10139)|null|
|**2025-05-14**|**Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design**|Tong Chen et.al.|[2505.07086](http://arxiv.org/abs/2505.07086)|null|
|**2025-05-14**|**Inductive Moment Matching**|Linqi Zhou et.al.|[2503.07565](http://arxiv.org/abs/2503.07565)|null|
|**2025-05-12**|**FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation**|Julian Cremer et.al.|[2504.10564](http://arxiv.org/abs/2504.10564)|null|
|**2025-05-11**|**Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting**|Marcel Kollovieh et.al.|[2410.03024](http://arxiv.org/abs/2410.03024)|null|
|**2025-05-08**|**T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models**|Yunfeng Ge et.al.|[2505.02417](http://arxiv.org/abs/2505.02417)|null|
|**2025-05-07**|**Multi-turn Consistent Image Editing**|Zijun Zhou et.al.|[2505.04320](http://arxiv.org/abs/2505.04320)|null|
|**2025-05-06**|**Real-Time Person Image Synthesis Using a Flow Matching Model**|Jiwoo Jeong et.al.|[2505.03562](http://arxiv.org/abs/2505.03562)|null|
|**2025-05-06**|**Ergodic Generative Flows**|Leo Maxime Brunswic et.al.|[2505.03561](http://arxiv.org/abs/2505.03561)|null|
|**2025-05-06**|**Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities**|Pramook Khungurn et.al.|[2505.01169](http://arxiv.org/abs/2505.01169)|null|
|**2025-05-03**|**CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation**|Xueqi Ma et.al.|[2504.19174](http://arxiv.org/abs/2504.19174)|null|
|**2025-05-03**|**Safe Flow Matching: Robot Motion Planning with Control Barrier Functions**|Xiaobing Dai et.al.|[2504.08661](http://arxiv.org/abs/2504.08661)|null|
|**2025-05-02**|**FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing**|Gaoxiang Cong et.al.|[2505.01263](http://arxiv.org/abs/2505.01263)|null|
|**2025-05-02**|**Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings**|Andreas Sochopoulos et.al.|[2505.01179](http://arxiv.org/abs/2505.01179)|null|
|**2025-05-02**|**Towards Flow-Matching-based TTS without Classifier-Free Guidance**|Yuzhe Liang et.al.|[2504.20334](http://arxiv.org/abs/2504.20334)|null|
|**2025-05-01**|**TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching**|Yue Meng et.al.|[2505.00562](http://arxiv.org/abs/2505.00562)|null|
|**2025-05-01**|**Gaussian Mixture Flow Matching Models**|Hansheng Chen et.al.|[2504.05304](http://arxiv.org/abs/2504.05304)|null|
|**2025-05-01**|**Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks**|Vince Kurtz et.al.|[2502.13406](http://arxiv.org/abs/2502.13406)|null|
|**2025-04-29**|**ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes**|Amartya Mukherjee et.al.|[2504.20411](http://arxiv.org/abs/2504.20411)|null|
|**2025-04-28**|**A comparison of generative deep learning methods for multivariate angular simulation**|Jakob Benjamin Wessel et.al.|[2504.21505](http://arxiv.org/abs/2504.21505)|null|
|**2025-04-28**|**Flow Matching Ergodic Coverage**|Max Muchen Sun et.al.|[2504.17872](http://arxiv.org/abs/2504.17872)|null|
|**2025-04-27**|**Flow Along the K-Amplitude for Generative Modeling**|Weitao Du et.al.|[2504.19353](http://arxiv.org/abs/2504.19353)|null|
|**2025-04-25**|**Action Flow Matching for Continual Robot Learning**|Alejandro Murillo-Gonzalez et.al.|[2504.18471](http://arxiv.org/abs/2504.18471)|null|
|**2025-04-25**|**Kimi-Audio Technical Report**|KimiTeam et.al.|[2504.18425](http://arxiv.org/abs/2504.18425)|null|
|**2025-04-25**|**Generating ensembles of spatially-coherent in-situ forecasts using flow matching**|David Landry et.al.|[2504.03463](http://arxiv.org/abs/2504.03463)|null|
|**2025-04-25**|**FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation**|Manolo Canales Cuba et.al.|[2504.01338](http://arxiv.org/abs/2504.01338)|null|
|**2025-04-25**|**EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing**|Gaoxiang Cong et.al.|[2412.08988](http://arxiv.org/abs/2412.08988)|null|
|**2025-04-24**|**Text-to-Image Alignment in Denoising-Based Models through Step Selection**|Paul Grimal et.al.|[2504.17525](http://arxiv.org/abs/2504.17525)|null|
|**2025-04-22**|**F5R-TTS: Improving Flow-Matching based Text-to-Speech with Group Relative Policy Optimization**|Xiaohui Sun et.al.|[2504.02407](http://arxiv.org/abs/2504.02407)|null|
|**2025-04-21**|**TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching**|Wenxiang Guo et.al.|[2502.12572](http://arxiv.org/abs/2502.12572)|null|
|**2025-04-20**|**FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models**|Kuanting Wu et.al.|[2504.14535](http://arxiv.org/abs/2504.14535)|null|
|**2025-04-20**|**Conditional flow matching for generative modeling of near-wall turbulence with quantified uncertainty**|Meet Hemant Parikh et.al.|[2504.14485](http://arxiv.org/abs/2504.14485)|null|
|**2025-04-19**|**Flow to Learn: Flow Matching on Neural Network Parameters**|Daniel Saragih et.al.|[2503.19371](http://arxiv.org/abs/2503.19371)|null|
|**2025-04-18**|**MusFlow: Multimodal Music Generation via Conditional Flow Matching**|Jiahao Song et.al.|[2504.13535](http://arxiv.org/abs/2504.13535)|null|
|**2025-04-18**|**RiboGen: RNA Sequence and Structure Co-Generation with Equivariant MultiFlow**|Dana Rubin et.al.|[2503.02058](http://arxiv.org/abs/2503.02058)|null|
|**2025-04-17**|**On the minimax optimality of Flow Matching through the connection to kernel density estimation**|Lea Kunkel et.al.|[2504.13336](http://arxiv.org/abs/2504.13336)|null|
|**2025-04-17**|**UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models**|Guanlong Jiao et.al.|[2504.13109](http://arxiv.org/abs/2504.13109)|null|
|**2025-04-17**|**EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector**|Deok-Hyeon Cho et.al.|[2411.02625](http://arxiv.org/abs/2411.02625)|null|
|**2025-04-16**|**A Bidirectional DeepParticle Method for Efficiently Solving Low-dimensional Transport Map Problems**|Tan Zhang et.al.|[2504.11851](http://arxiv.org/abs/2504.11851)|null|
|**2025-04-16**|**DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation**|Wangbo Zhao et.al.|[2504.06803](http://arxiv.org/abs/2504.06803)|null|
|**2025-04-15**|**ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings**|Zitai Kong et.al.|[2504.10983](http://arxiv.org/abs/2504.10983)|null|
|**2025-04-14**|**$α$ -Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models**|Chaoran Cheng et.al.|[2504.10283](http://arxiv.org/abs/2504.10283)|null|
|**2025-04-12**|**UniFlowRestore: A General Video Restoration Framework via Flow Matching and Prompt Guidance**|Shuning Sun et.al.|[2504.09069](http://arxiv.org/abs/2504.09069)|null|
|**2025-04-11**|**Stability of Schrödinger bridges and Sinkhorn semigroups for log-concave models**|Pierre Del Moral et.al.|[2503.15963](http://arxiv.org/abs/2503.15963)|null|
|**2025-04-10**|**TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization**|Chia-Yu Hung et.al.|[2412.21037](http://arxiv.org/abs/2412.21037)|null|
|**2025-04-10**|**GaussianAnything: Interactive Point Cloud Flow Matching For 3D Object Generation**|Yushi Lan et.al.|[2411.08033](http://arxiv.org/abs/2411.08033)|null|
|**2025-04-09**|**OPAL: Encoding Causal Understanding of Physical Systems for Robot Learning**|Daniel Tcheurekdjian et.al.|[2504.06538](http://arxiv.org/abs/2504.06538)|null|
|**2025-04-07**|**GARF: Learning Generalizable 3D Reassembly for Real-World Fractures**|Sihang Li et.al.|[2504.05400](http://arxiv.org/abs/2504.05400)|null|
|**2025-04-07**|**MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis**|Ho Kei Cheng et.al.|[2412.15322](http://arxiv.org/abs/2412.15322)|null|
|**2025-04-06**|**FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Rates**|Nicola Pia et.al.|[2409.17635](http://arxiv.org/abs/2409.17635)|null|
|**2025-04-03**|**CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models**|Weichen Fan et.al.|[2503.18886](http://arxiv.org/abs/2503.18886)|null|
|**2025-04-02**|**FlowR: Flowing from Sparse to Dense 3D Reconstructions**|Tobias Fischer et.al.|[2504.01647](http://arxiv.org/abs/2504.01647)|null|
|**2025-04-01**|**Conditional Variable Flow Matching: Transforming Conditional Densities with Amortized Conditional Optimal Transport**|Adam P. Generale et.al.|[2411.08314](http://arxiv.org/abs/2411.08314)|null|
|**2025-03-31**|**NoProp: Training Neural Networks without Back-propagation or Forward-propagation**|Qinyu Li et.al.|[2503.24322](http://arxiv.org/abs/2503.24322)|null|
|**2025-03-29**|**Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones**|Carlos Plou et.al.|[2408.15899](http://arxiv.org/abs/2408.15899)|null|
|**2025-03-28**|**Generative Latent Neural PDE Solver using Flow Matching**|Zijie Li et.al.|[2503.22600](http://arxiv.org/abs/2503.22600)|null|
|**2025-03-28**|**EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation**|Hadrien Reynaud et.al.|[2503.22357](http://arxiv.org/abs/2503.22357)|null|
|**2025-03-28**|**Make Some Noise: Towards LLM audio reasoning and generation using sound tokens**|Shivam Mehta et.al.|[2503.22275](http://arxiv.org/abs/2503.22275)|null|
|**2025-03-28**|**Enhance Generation Quality of Flow Matching V2A Model via Multi-Step CoT-Like Guidance and Combined Preference Optimization**|Haomin Zhang et.al.|[2503.22200](http://arxiv.org/abs/2503.22200)|null|
|**2025-03-27**|**Geometric Flow Models over Neural Network Weights**|Ege Erdogan et.al.|[2504.03710](http://arxiv.org/abs/2504.03710)|null|
|**2025-03-27**|**A Unified Framework for Diffusion Bridge Problems: Flow Matching and Schrödinger Matching into One**|Minyoung Kim et.al.|[2503.21756](http://arxiv.org/abs/2503.21756)|null|
|**2025-03-27**|**SF-Speech: Straightened Flow for Zero-Shot Voice Clone**|Xuyuan Li et.al.|[2410.12399](http://arxiv.org/abs/2410.12399)|null|
|**2025-03-26**|**Learning Straight Flows by Learning Curved Interpolants**|Shiv Shankar et.al.|[2503.20719](http://arxiv.org/abs/2503.20719)|null|
|**2025-03-25**|**Variational conditional normalizing flows for computing second-order mean field control problems**|Jiaxi Zhao et.al.|[2503.19580](http://arxiv.org/abs/2503.19580)|null|
|**2025-03-25**|**Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation**|Quan Dao et.al.|[2412.16906](http://arxiv.org/abs/2412.16906)|null|
|**2025-03-25**|**KL-geodesics flow matching with a novel sampling scheme**|Egor Sevriugov et.al.|[2411.16821](http://arxiv.org/abs/2411.16821)|null|
|**2025-03-24**|**RiboFlow: Conditional De Novo RNA Sequence-Structure Co-Design via Synergistic Flow Matching**|Runze Ma et.al.|[2503.17007](http://arxiv.org/abs/2503.17007)|null|
|**2025-03-24**|**3D Shape Tokenization via Latent Flow Matching**|Jen-Hao Rick Chang et.al.|[2412.15618](http://arxiv.org/abs/2412.15618)|null|
|**2025-03-24**|**Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution**|Qihao Liu et.al.|[2412.15213](http://arxiv.org/abs/2412.15213)|null|
|**2025-03-24**|**FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction**|Alex Morehead et.al.|[2412.10966](http://arxiv.org/abs/2412.10966)|null|
|**2025-03-21**|**Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation**|Sophia Tang et.al.|[2503.17361](http://arxiv.org/abs/2503.17361)|null|
|**2025-03-21**|**From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech**|Ji-Hoon Kim et.al.|[2503.16956](http://arxiv.org/abs/2503.16956)|null|
|**2025-03-20**|**WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching**|Tianze Luo et.al.|[2503.16689](http://arxiv.org/abs/2503.16689)|null|
|**2025-03-20**|**Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation**|Sucheng Ren et.al.|[2502.20388](http://arxiv.org/abs/2502.20388)|null|
|**2025-03-19**|**Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks**|Mario Lino et.al.|[2504.02843](http://arxiv.org/abs/2504.02843)|null|
|**2025-03-19**|**PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks**|Valentin Lombard et.al.|[2504.02839](http://arxiv.org/abs/2504.02839)|null|
|**2025-03-19**|**Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening**|Zihan Cao et.al.|[2503.14975](http://arxiv.org/abs/2503.14975)|null|
|**2025-03-19**|**MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidance**|Zihan Cao et.al.|[2503.14944](http://arxiv.org/abs/2503.14944)|null|
|**2025-03-19**|**FlowTok: Flowing Seamlessly Across Text and Image Tokens**|Ju He et.al.|[2503.10772](http://arxiv.org/abs/2503.10772)|null|
|**2025-03-19**|**MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks**|Nayoung Kim et.al.|[2410.17270](http://arxiv.org/abs/2410.17270)|null|
|**2025-03-18**|**RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment**|Chao Wang et.al.|[2503.14358](http://arxiv.org/abs/2503.14358)|null|
|**2025-03-18**|**Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency**|Jiangxuan Long et.al.|[2503.14076](http://arxiv.org/abs/2503.14076)|null|
|**2025-03-18**|**TFG-Flow: Training-free Guidance in Multimodal Generative Flow**|Haowei Lin et.al.|[2501.14216](http://arxiv.org/abs/2501.14216)|null|
|**2025-03-18**|**RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design**|Rishabh Anand et.al.|[2406.13839](http://arxiv.org/abs/2406.13839)|null|
|**2025-03-15**|**Stable Flow: Vital Layers for Training-Free Image Editing**|Omri Avrahami et.al.|[2411.14430](http://arxiv.org/abs/2411.14430)|null|
|**2025-03-15**|**Pyramidal Flow Matching for Efficient Video Generative Modeling**|Yang Jin et.al.|[2410.05954](http://arxiv.org/abs/2410.05954)|null|
|**2025-03-14**|**MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation**|Sungwoo Cho et.al.|[2503.11026](http://arxiv.org/abs/2503.11026)|null|
|**2025-03-14**|**The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation**|Ho Kei Cheng et.al.|[2503.10636](http://arxiv.org/abs/2503.10636)|null|
|**2025-03-14**|**FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation**|Shilong Zhang et.al.|[2502.05179](http://arxiv.org/abs/2502.05179)|null|
|**2025-03-14**|**vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation**|Bastian Wittmann et.al.|[2411.17386](http://arxiv.org/abs/2411.17386)|null|
|**2025-03-13**|**Probabilistic Forecasting via Autoregressive Flow Matching**|Ahmed El-Gazzar et.al.|[2503.10375](http://arxiv.org/abs/2503.10375)|null|
|**2025-03-13**|**Piece it Together: Part-Based Concepting with IP-Priors**|Elad Richardson et.al.|[2503.10365](http://arxiv.org/abs/2503.10365)|null|
|**2025-03-13**|**MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation**|Yuxiang Fu et.al.|[2503.09950](http://arxiv.org/abs/2503.09950)|null|
|**2025-03-12**|**Temporal Difference Flows**|Jesse Farebrother et.al.|[2503.09817](http://arxiv.org/abs/2503.09817)|null|
|**2025-03-12**|**Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows**|Chengyue Gong et.al.|[2503.09069](http://arxiv.org/abs/2503.09069)|null|
|**2025-03-12**|**$^R$ FLAV: Rolling Flow matching for infinite Audio Video generation**|Alex Ergasti et.al.|[2503.08307](http://arxiv.org/abs/2503.08307)|null|
|**2025-03-12**|**MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation**|Michael Fuest et.al.|[2502.11234](http://arxiv.org/abs/2502.11234)|null|
|**2025-03-12**|**DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems**|Shadab Ahamed et.al.|[2412.04766](http://arxiv.org/abs/2412.04766)|null|
|**2025-03-12**|**Depth Any Video with Scalable Synthetic Data**|Honghui Yang et.al.|[2410.10815](http://arxiv.org/abs/2410.10815)|null|
|**2025-03-11**|**FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems**|Jeongsol Kim et.al.|[2503.08136](http://arxiv.org/abs/2503.08136)|null|
|**2025-03-11**|**Symbolic Neural Ordinary Differential Equations**|Xin Li et.al.|[2503.08059](http://arxiv.org/abs/2503.08059)|null|
|**2025-03-11**|**HOFAR: High-Order Augmentation of Flow Autoregressive Transformers**|Yingyu Liang et.al.|[2503.08032](http://arxiv.org/abs/2503.08032)|null|
|**2025-03-11**|**Prediction of Frozen Region Growth in Kidney Cryoablation Intervention Using a 3D Flow-Matching Model**|Siyeop Yoon et.al.|[2503.04966](http://arxiv.org/abs/2503.04966)|null|
|**2025-03-11**|**IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation**|Krishan Rana et.al.|[2502.12371](http://arxiv.org/abs/2502.12371)|null|
|**2025-03-10**|**V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation**|Guiwei Zhang et.al.|[2503.07493](http://arxiv.org/abs/2503.07493)|null|
|**2025-03-10**|**AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance**|Yi-Lin Wei et.al.|[2503.07360](http://arxiv.org/abs/2503.07360)|null|
|**2025-03-09**|**Training Free Guided Flow Matching with Optimal Control**|Luran Wang et.al.|[2410.18070](http://arxiv.org/abs/2410.18070)|null|
|**2025-03-08**|**FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching**|Khang Nguyen et.al.|[2503.06135](http://arxiv.org/abs/2503.06135)|null|
|**2025-03-08**|**GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling**|Pinxin Liu et.al.|[2501.18898](http://arxiv.org/abs/2501.18898)|null|
|**2025-03-08**|**Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry**|Zhaoxing Zhang et.al.|[2412.16923](http://arxiv.org/abs/2412.16923)|null|
|**2025-03-08**|**RNACG: A Universal RNA Sequence Conditional Generation model based on Flow-Matching**|Letian Gao et.al.|[2407.19838](http://arxiv.org/abs/2407.19838)|null|
|**2025-03-06**|**Energy-Weighted Flow Matching for Offline Reinforcement Learning**|Shiyuan Zhang et.al.|[2503.04975](http://arxiv.org/abs/2503.04975)|null|
|**2025-03-06**|**Iterative Flow Matching -- Path Correction and Gradual Refinement for Enhanced Generative Modeling**|Eldad Haber et.al.|[2502.16445](http://arxiv.org/abs/2502.16445)|null|
|**2025-03-05**|**ProReflow: Progressive Reflow with Decomposed Velocity**|Lei Ke et.al.|[2503.04824](http://arxiv.org/abs/2503.04824)|null|
|**2025-03-05**|**Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation**|Zilyu Ye et.al.|[2412.01243](http://arxiv.org/abs/2412.01243)|null|
|**2025-03-04**|**Generative Modeling of Microweather Wind Velocities for Urban Air Mobility**|Tristan A. Shah et.al.|[2503.02690](http://arxiv.org/abs/2503.02690)|null|
|**2025-03-04**|**P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching**|Yaowei Jin et.al.|[2411.17196](http://arxiv.org/abs/2411.17196)|null|
|**2025-03-03**|**FlowDec: A flow-based full-band general audio codec with high perceptual quality**|Simon Welker et.al.|[2503.01485](http://arxiv.org/abs/2503.01485)|null|
|**2025-03-03**|**Gradient-Free Generation for Hard-Constrained Systems**|Chaoran Cheng et.al.|[2412.01786](http://arxiv.org/abs/2412.01786)|null|
|**2025-03-03**|**FlowNav: Combining Flow Matching and Depth Priors for Efficient Navigation**|Samiran Gode et.al.|[2411.09524](http://arxiv.org/abs/2411.09524)|null|
|**2025-03-03**|**PnP-Flow: Plug-and-Play Image Restoration with Flow Matching**|Ségolène Martin et.al.|[2410.02423](http://arxiv.org/abs/2410.02423)|null|
|**2025-03-03**|**Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold**|Lazar Atanackovic et.al.|[2408.14608](http://arxiv.org/abs/2408.14608)|null|
|**2025-03-03**|**Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen**|Alessandro Palma et.al.|[2407.11734](http://arxiv.org/abs/2407.11734)|null|
|**2025-03-02**|**Stiefel Flow Matching for Moment-Constrained Structure Elucidation**|Austin Cheng et.al.|[2412.12540](http://arxiv.org/abs/2412.12540)|null|
|**2025-03-02**|**High-Resolution Image Synthesis via Next-Token Prediction**|Dengsheng Chen et.al.|[2411.14808](http://arxiv.org/abs/2411.14808)|null|
|**2025-03-02**|**Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport**|Haokai Hong et.al.|[2405.15252](http://arxiv.org/abs/2405.15252)|null|
|**2025-03-01**|**AI-Augmented Thyroid Scintigraphy for Robust Classification**|Maziar Sabouri et.al.|[2503.00366](http://arxiv.org/abs/2503.00366)|null|
|**2025-03-01**|**dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen**|Cheng Tan et.al.|[2503.01910](http://arxiv.org/abs/2503.01910)|null|
|**2025-03-01**|**Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality**|Milad Yazdani et.al.|[2503.00266](http://arxiv.org/abs/2503.00266)|null|
|**2025-02-28**|**InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music Generation**|Chong Zhang et.al.|[2503.00084](http://arxiv.org/abs/2503.00084)|null|
|**2025-02-28**|**SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching**|Ross Irwin et.al.|[2406.07266](http://arxiv.org/abs/2406.07266)|null|
|**2025-02-27**|**Generator Matching: Generative modeling with arbitrary Markov processes**|Peter Holderrieth et.al.|[2410.20587](http://arxiv.org/abs/2410.20587)|null|
|**2025-02-26**|**Consistent Amortized Clustering via Generative Flow Networks**|Irit Chelly et.al.|[2502.19337](http://arxiv.org/abs/2502.19337)|null|
|**2025-02-26**|**PolypFlow: Reinforcing Polyp Segmentation with Flow-Driven Dynamics**|Pu Wang et.al.|[2502.19037](http://arxiv.org/abs/2502.19037)|null|
|**2025-02-25**|**Flow Matching for Accelerated Simulation of Atomic Transport in Materials**|Juno Nam et.al.|[2410.01464](http://arxiv.org/abs/2410.01464)|null|
|**2025-02-24**|**Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching**|Xinzhe Luo et.al.|[2502.17174](http://arxiv.org/abs/2502.17174)|null|
|**2025-02-24**|**Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model**|Guoqing Ma et.al.|[2502.10248](http://arxiv.org/abs/2502.10248)|null|
|**2025-02-24**|**CrystalFlow: A Flow-Based Generative Model for Crystalline Materials**|Xiaoshan Luo et.al.|[2412.11693](http://arxiv.org/abs/2412.11693)|null|
|**2025-02-21**|**Non-Linear Flow Matching for Full-Atom Peptide Design**|Dengdeng Huang et.al.|[2502.15855](http://arxiv.org/abs/2502.15855)|null|
|**2025-02-20**|**ParetoFlow: Guided Flows in Multi-Objective Optimization**|Ye Yuan et.al.|[2412.03718](http://arxiv.org/abs/2412.03718)|null|
|**2025-02-19**|**Learning conformational ensembles of proteins based on backbone geometry**|Nicolas Wolf et.al.|[2503.05738](http://arxiv.org/abs/2503.05738)|null|
|**2025-02-19**|**X-IL: Exploring the Design Space of Imitation Learning Policies**|Xiaogang Jia et.al.|[2502.12330](http://arxiv.org/abs/2502.12330)|null|
|**2025-02-18**|**AV-Flow: Transforming Text to Audio-Visual Human-like Interactions**|Aggelina Chatziagapi et.al.|[2502.13133](http://arxiv.org/abs/2502.13133)|null|
|**2025-02-18**|**Towards Variational Flow Matching on General Geometries**|Olga Zaghen et.al.|[2502.12981](http://arxiv.org/abs/2502.12981)|null|
|**2025-02-18**|**Electron flow matching for generative reaction mechanism prediction obeying conservation laws**|Joonyoung F. Joung et.al.|[2502.12979](http://arxiv.org/abs/2502.12979)|null|
|**2025-02-18**|**Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards**|Xinyi Yang et.al.|[2502.12530](http://arxiv.org/abs/2502.12530)|null|
|**2025-02-17**|**Inverse Flow and Consistency Models**|Yuchen Zhang et.al.|[2502.11333](http://arxiv.org/abs/2502.11333)|null|
|**2025-02-17**|**AffinityFlow: Guided Flows for Antibody Affinity Maturation**|Can Chen et.al.|[2502.10365](http://arxiv.org/abs/2502.10365)|null|
|**2025-02-16**|**FELLE: Autoregressive Speech Synthesis with Token-Wise Coarse-to-Fine Flow Matching**|Hui Wang et.al.|[2502.11128](http://arxiv.org/abs/2502.11128)|null|
|**2025-02-14**|**Variational Rectified Flow Matching**|Pengsheng Guo et.al.|[2502.09616](http://arxiv.org/abs/2502.09616)|null|
|**2025-02-13**|**Designing a Conditional Prior Distribution for Flow-Based Generative Models**|Noam Issachar et.al.|[2502.09611](http://arxiv.org/abs/2502.09611)|null|
|**2025-02-13**|**Domain Overlapping Algorithm with Nonlinear Mapping for Collocation-Based Solutions of Eigenvalue Problems**|Jinwei Yang et.al.|[2502.09398](http://arxiv.org/abs/2502.09398)|null|
|**2025-02-12**|**Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling**|Yang Cao et.al.|[2502.08150](http://arxiv.org/abs/2502.08150)|null|
|**2025-02-12**|**One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation**|Jianze Li et.al.|[2502.01993](http://arxiv.org/abs/2502.01993)|null|
|**2025-02-11**|**Flow Matching for Collaborative Filtering**|Chengkai Liu et.al.|[2502.07303](http://arxiv.org/abs/2502.07303)|null|
|**2025-02-11**|**Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement**|Xueyao Zhang et.al.|[2502.07243](http://arxiv.org/abs/2502.07243)|null|
|**2025-02-10**|**High-Resolution Speech Restoration with Latent Diffusion Model**|Tushar Dhyani et.al.|[2409.11145](http://arxiv.org/abs/2409.11145)|null|
|**2025-02-09**|**Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization**|Jiajun Fan et.al.|[2502.06061](http://arxiv.org/abs/2502.06061)|null|
|**2025-02-08**|**Flow-based Conformal Prediction for Multi-dimensional Time Series**|Junghwan Lee et.al.|[2502.05709](http://arxiv.org/abs/2502.05709)|null|
|**2025-02-08**|**Enhancing Expressive Voice Conversion with Discrete Pitch-Conditioned Flow Matching Model**|Jialong Zuo et.al.|[2502.05471](http://arxiv.org/abs/2502.05471)|null|
|**2025-02-06**|**TruthFlow: Truthful LLM Generation via Representation Flow Correction**|Hanyu Wang et.al.|[2502.04556](http://arxiv.org/abs/2502.04556)|null|
|**2025-02-05**|**Efficient Image Restoration via Latent Consistency Flow Matching**|Elad Cohen et.al.|[2502.03500](http://arxiv.org/abs/2502.03500)|null|
|**2025-02-05**|**FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms**|Lea Bogensperger et.al.|[2405.18087](http://arxiv.org/abs/2405.18087)|null|
|**2025-02-04**|**Developing multilingual speech synthesis system for Ojibwe, Mi'kmaq, and Maliseet**|Shenran Wang et.al.|[2502.02703](http://arxiv.org/abs/2502.02703)|null|
|**2025-02-04**|**Generative Modeling on Lie Groups via Euclidean Generalized Score Matching**|Marco Bertolini et.al.|[2502.02513](http://arxiv.org/abs/2502.02513)|null|
|**2025-02-04**|**Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation**|Yang Cao et.al.|[2502.00500](http://arxiv.org/abs/2502.00500)|null|
|**2025-02-04**|**Trajectory Flow Matching with Applications to Clinical Time Series Modeling**|Xi Zhang et.al.|[2410.21154](http://arxiv.org/abs/2410.21154)|null|
|**2025-02-04**|**Denoising with a Joint-Embedding Predictive Architecture**|Dengsheng Chen et.al.|[2410.03755](http://arxiv.org/abs/2410.03755)|null|
|**2025-02-03**|**SatFlow: Generative model based framework for producing High Resolution Gap Free Remote Sensing Imagery**|Bharath Irigireddy et.al.|[2502.01098](http://arxiv.org/abs/2502.01098)|null|
|**2025-02-03**|**Stream-level flow matching with Gaussian processes**|Ganchao Wei et.al.|[2409.20423](http://arxiv.org/abs/2409.20423)|null|
|**2025-02-02**|**Planet Purifiers: A Collaborative Immersive Experience Proposing New Modifications to HOMER and Fishing Reel Interaction Techniques**|Alexander Giovannelli et.al.|[2502.00888](http://arxiv.org/abs/2502.00888)|null|
|**2025-02-01**|**Affordance-based Robot Manipulation with Flow Matching**|Fan Zhang et.al.|[2409.01083](http://arxiv.org/abs/2409.01083)|null|
|**2025-02-01**|**Transferable Boltzmann Generators**|Leon Klein et.al.|[2406.14426](http://arxiv.org/abs/2406.14426)|null|
|**2025-01-29**|**BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights**|Chan-Jan Hsu et.al.|[2501.17790](http://arxiv.org/abs/2501.17790)|null|
|**2025-01-29**|**VoicePrompter: Robust Zero-Shot Voice Conversion with Voice Prompt and Conditional Flow Matching**|Ha-Yeong Choi et.al.|[2501.17612](http://arxiv.org/abs/2501.17612)|null|
|**2025-01-29**|**Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems**|Mo Zhou et.al.|[2409.16471](http://arxiv.org/abs/2409.16471)|null|
|**2025-01-26**|**A Distribution-Aware Flow-Matching for Generating Unstructured Data for Few-Shot Reinforcement Learning**|Mohammad Pivezhandi et.al.|[2409.14178](http://arxiv.org/abs/2409.14178)|null|
|**2025-01-25**|**Efficient Point Clouds Upsampling via Flow Matching**|Zhi-Song Liu et.al.|[2501.15286](http://arxiv.org/abs/2501.15286)|null|
|**2025-01-22**|**Vector-Symbolic Architecture for Event-Based Optical Flow**|Hongzhi You et.al.|[2405.08300](http://arxiv.org/abs/2405.08300)|null|
|**2025-01-21**|**Categorical Flow Matching on Statistical Manifolds**|Chaoran Cheng et.al.|[2405.16441](http://arxiv.org/abs/2405.16441)|null|
|**2025-01-20**|**Block Flow: Learning Straight Flow on Data Blocks**|Zibin Wang et.al.|[2501.11361](http://arxiv.org/abs/2501.11361)|null|
|**2025-01-18**|**Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting**|Soon Hoe Lim et.al.|[2410.03229](http://arxiv.org/abs/2410.03229)|null|
|**2025-01-17**|**Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching**|Hao Xie et.al.|[2501.10594](http://arxiv.org/abs/2501.10594)|null|
|**2025-01-16**|**Boosting Latent Diffusion with Perceptual Objectives**|Tariq Berrada et.al.|[2411.04873](http://arxiv.org/abs/2411.04873)|null|
|**2025-01-14**|**AdaptVC: High Quality Voice Conversion with Adaptive Learning**|Jaehun Kim et.al.|[2501.01347](http://arxiv.org/abs/2501.01347)|null|
|**2025-01-13**|**Flow matching for stochastic linear control systems**|Yuhang Mei et.al.|[2412.00617](http://arxiv.org/abs/2412.00617)|null|
|**2025-01-13**|**Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data**|Bastian Boll et.al.|[2406.04527](http://arxiv.org/abs/2406.04527)|null|
|**2025-01-10**|**Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling**|Yuguang Yang et.al.|[2410.01350](http://arxiv.org/abs/2410.01350)|null|
|**2025-01-09**|**FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching**|Jun-Hak Yun et.al.|[2501.04926](http://arxiv.org/abs/2501.04926)|null|
|**2025-01-09**|**Stochastic Process Learning via Operator Flow Matching**|Yaozhong Shi et.al.|[2501.04126](http://arxiv.org/abs/2501.04126)|null|
|**2025-01-09**|**FlowSep: Language-Queried Sound Separation with Rectified Flow Matching**|Yi Yuan et.al.|[2409.07614](http://arxiv.org/abs/2409.07614)|null|
|**2025-01-08**|**Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies**|Yonghyeon Lee et.al.|[2407.19681](http://arxiv.org/abs/2407.19681)|null|
|**2025-01-07**|**Exploring Molecule Generation Using Latent Space Graph Diffusion**|Prashanth Pombala et.al.|[2501.03696](http://arxiv.org/abs/2501.03696)|null|
|**2025-01-07**|**Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control**|Carles Domingo-Enrich et.al.|[2409.08861](http://arxiv.org/abs/2409.08861)|null|
|**2025-01-04**|**Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching**|Yongqi Wang et.al.|[2406.00320](http://arxiv.org/abs/2406.00320)|null|
|**2025-01-03**|**CycleFlow: Leveraging Cycle Consistency in Flow Matching for Speaker Style Adaptation**|Ziqi Liang et.al.|[2501.01861](http://arxiv.org/abs/2501.01861)|null|
|**2025-01-03**|**Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching**|Yasi Zhang et.al.|[2405.18816](http://arxiv.org/abs/2405.18816)|null|
|**2025-01-02**|**EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers**|Daiheng Gao et.al.|[2412.20413](http://arxiv.org/abs/2412.20413)|null|
|**2025-01-01**|**VoiceRestore: Flow-Matching Transformers for Speech Recording Quality Restoration**|Stanislav Kirdey et.al.|[2501.00794](http://arxiv.org/abs/2501.00794)|null|
|**2024-12-28**|**CaloDREAM -- Detector Response Emulation via Attentive flow Matching**|Luigi Favaro et.al.|[2405.09629](http://arxiv.org/abs/2405.09629)|null|
|**2024-12-26**|**Accelerating Stochastic Gravitational Wave Backgrounds Parameter Estimation in Pulsar Timing Arrays with Flow Matching**|Bo Liang et.al.|[2412.19169](http://arxiv.org/abs/2412.19169)|null|
|**2024-12-25**|**CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models**|Zhihao Du et.al.|[2412.10117](http://arxiv.org/abs/2412.10117)|null|
|**2024-12-24**|**Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching**|Enshu Liu et.al.|[2412.17153](http://arxiv.org/abs/2412.17153)|null|
|**2024-12-24**|**Flow Matching for Optimal Reaction Coordinates of Biomolecular System**|Mingyuan Zhang et.al.|[2408.17139](http://arxiv.org/abs/2408.17139)|null|
|**2024-12-19**|**FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching**|Sucheng Ren et.al.|[2412.15205](http://arxiv.org/abs/2412.15205)|null|
|**2024-12-19**|**ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis**|Xiangheng He et.al.|[2412.11795](http://arxiv.org/abs/2412.11795)|null|
|**2024-12-18**|**Exploring Diffusion and Flow Matching Under Generator Matching**|Zeeshan Patel et.al.|[2412.11024](http://arxiv.org/abs/2412.11024)|null|
|**2024-12-17**|**ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting**|Guillaume Couairon et.al.|[2412.12971](http://arxiv.org/abs/2412.12971)|null|
|**2024-12-15**|**EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Prediction**|Qingwen Tian et.al.|[2412.11082](http://arxiv.org/abs/2412.11082)|null|
|**2024-12-15**|**FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation**|Qinglun Zhang et.al.|[2412.04987](http://arxiv.org/abs/2412.04987)|null|
|**2024-12-12**|**YingSound: Video-Guided Sound Effects Generation with Multi-modal Chain-of-Thought Controls**|Zihao Chen et.al.|[2412.09168](http://arxiv.org/abs/2412.09168)|null|
|**2024-12-12**|**TouchTTS: An Embarrassingly Simple TTS Framework that Everyone Can Touch**|Xingchen Song et.al.|[2412.08237](http://arxiv.org/abs/2412.08237)|null|
|**2024-12-11**|**Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation**|Guillaume Huguet et.al.|[2405.20313](http://arxiv.org/abs/2405.20313)|null|
|**2024-12-10**|**StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching**|Jixun Yao et.al.|[2412.04724](http://arxiv.org/abs/2412.04724)|null|
|**2024-12-09**|**Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation**|Nicolas Dufour et.al.|[2412.06781](http://arxiv.org/abs/2412.06781)|null|
|**2024-12-09**|**See Further When Clear: Curriculum Consistency Model**|Yunpeng Liu et.al.|[2412.06295](http://arxiv.org/abs/2412.06295)|null|
|**2024-12-09**|**Flow Matching Guide and Code**|Yaron Lipman et.al.|[2412.06264](http://arxiv.org/abs/2412.06264)|null|
|**2024-12-06**|**Continuous Speech Tokens Makes LLMs Robust Multi-Modality Learners**|Ze Yuan et.al.|[2412.04917](http://arxiv.org/abs/2412.04917)|null|
|**2024-12-04**|**Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective**|Neta Shaul et.al.|[2412.03487](http://arxiv.org/abs/2412.03487)|null|
|**2024-12-04**|**CryoFM: A Flow-based Foundation Model for Cryo-EM Densities**|Yi Zhou et.al.|[2410.08631](http://arxiv.org/abs/2410.08631)|null|
|**2024-12-03**|**Amodal Depth Anything: Amodal Depth Estimation in the Wild**|Zhenyu Li et.al.|[2412.02336](http://arxiv.org/abs/2412.02336)|null|
|**2024-11-25**|**Exploring Discrete Flow Matching for 3D De Novo Molecule Generation**|Ian Dunn et.al.|[2411.16644](http://arxiv.org/abs/2411.16644)|null|
|**2024-11-24**|**D-Flow: Multi-modality Flow Matching for D-peptide Design**|Fang Wu et.al.|[2411.10618](http://arxiv.org/abs/2411.10618)|null|
|**2024-11-14**|**A survey of probabilistic generative frameworks for molecular simulations**|Richard John et.al.|[2411.09388](http://arxiv.org/abs/2411.09388)|null|
|**2024-11-13**|**Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching**|Etrit Haxholli et.al.|[2411.00759](http://arxiv.org/abs/2411.00759)|null|
|**2024-11-13**|**$π_0$ : A Vision-Language-Action Flow Model for General Robot Control**|Kevin Black et.al.|[2410.24164](http://arxiv.org/abs/2410.24164)|null|
|**2024-11-08**|**Improving Molecular Graph Generation with Flow Matching and Optimal Transport**|Xiaoyang Hou et.al.|[2411.05676](http://arxiv.org/abs/2411.05676)|null|
|**2024-11-07**|**Generating Highly Designable Proteins with Geometric Algebra Flow Matching**|Simon Wagner et.al.|[2411.05238](http://arxiv.org/abs/2411.05238)|null|
|**2024-11-06**|**Discrete Flow Matching**|Itai Gat et.al.|[2407.15595](http://arxiv.org/abs/2407.15595)|null|
|**2024-11-05**|**Unleashing the power of novel conditional generative approaches for new materials discovery**|Lev Novitskiy et.al.|[2411.03156](http://arxiv.org/abs/2411.03156)|null|
|**2024-11-04**|**CTEFM-VC: Zero-Shot Voice Conversion Based on Content-Aware Timbre Ensemble Modeling and Flow Matching**|Yu Pan et.al.|[2411.02026](http://arxiv.org/abs/2411.02026)|null|
|**2024-11-04**|**Metric Flow Matching for Smooth Interpolations on the Data Manifold**|Kacper Kapuśniak et.al.|[2405.14780](http://arxiv.org/abs/2405.14780)|null|
|**2024-11-01**|**Fast Samplers for Inverse Problems in Iterative Refinement Models**|Kushagra Pandey et.al.|[2405.17673](http://arxiv.org/abs/2405.17673)|null|
|**2024-10-31**|**How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?**|Weiguo Gao et.al.|[2410.23594](http://arxiv.org/abs/2410.23594)|null|
|**2024-10-30**|**FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions**|Anuroop Sriram et.al.|[2410.23405](http://arxiv.org/abs/2410.23405)|null|
|**2024-10-30**|**Simulation-Free Training of Neural ODEs on Paired Data**|Semin Kim et.al.|[2410.22918](http://arxiv.org/abs/2410.22918)|null|
|**2024-10-30**|**Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics**|Jonas Spinner et.al.|[2405.14806](http://arxiv.org/abs/2405.14806)|null|
|**2024-10-30**|**Fisher Flow Matching for Generative Modeling over Discrete Data**|Oscar Davis et.al.|[2405.14664](http://arxiv.org/abs/2405.14664)|null|
|**2024-10-29**|**Flow Matching for Posterior Inference with Simulator Feedback**|Benjamin Holzschuh et.al.|[2410.22573](http://arxiv.org/abs/2410.22573)|null|
|**2024-10-29**|**ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation**|Majdi Hassan et.al.|[2410.22388](http://arxiv.org/abs/2410.22388)|null|
|**2024-10-29**|**Heavy-Tailed Diffusion Models**|Kushagra Pandey et.al.|[2410.14171](http://arxiv.org/abs/2410.14171)|null|
|**2024-10-28**|**CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation**|Claudius Krause et.al.|[2410.21611](http://arxiv.org/abs/2410.21611)|null|
|**2024-10-28**|**Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels**|Timothy D. Gebhard et.al.|[2410.21477](http://arxiv.org/abs/2410.21477)|null|
|**2024-10-28**|**Preference Alignment with Flow Matching**|Minu Kim et.al.|[2405.19806](http://arxiv.org/abs/2405.19806)|null|
|**2024-10-28**|**Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows**|Alberto Cabezas et.al.|[2405.14392](http://arxiv.org/abs/2405.14392)|null|
|**2024-10-27**|**MusicFlow: Cascaded Flow Matching for Text Guided Music Generation**|K R Prajwal et.al.|[2410.20478](http://arxiv.org/abs/2410.20478)|null|
|**2024-10-27**|**Hamiltonian Score Matching and Generative Flows**|Peter Holderrieth et.al.|[2410.20470](http://arxiv.org/abs/2410.20470)|null|
|**2024-10-26**|**A Taxonomy of Loss Functions for Stochastic Optimal Control**|Carles Domingo-Enrich et.al.|[2410.00345](http://arxiv.org/abs/2410.00345)|null|
|**2024-10-25**|**Flow Generator Matching**|Zemin Huang et.al.|[2410.19310](http://arxiv.org/abs/2410.19310)|null|
|**2024-10-22**|**Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching**|Jiying Zhang et.al.|[2410.16673](http://arxiv.org/abs/2410.16673)|null|
|**2024-10-21**|**On Divergence Measures for Training GFlowNets**|Tiago da Silva et.al.|[2410.09355](http://arxiv.org/abs/2410.09355)|null|
|**2024-10-21**|**Flow Matching Imitation Learning for Multi-Support Manipulation**|Quentin Rouxel et.al.|[2407.12381](http://arxiv.org/abs/2407.12381)|null|
|**2024-10-20**|**Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching**|Ange-Clément Akazan et.al.|[2410.15516](http://arxiv.org/abs/2410.15516)|null|
|**2024-10-19**|**Generalized Flow Matching for Transition Dynamics Modeling**|Haibo Wang et.al.|[2410.15128](http://arxiv.org/abs/2410.15128)|null|
|**2024-10-17**|**Stochastic Flow Matching for Resolving Small-Scale Physics**|Stathi Fotiadis et.al.|[2410.19814](http://arxiv.org/abs/2410.19814)|null|
|**2024-10-16**|**MuVi: Video-to-Music Generation with Semantic Alignment and Rhythmic Synchronization**|Ruiqi Li et.al.|[2410.12957](http://arxiv.org/abs/2410.12957)|null|
|**2024-10-16**|**High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching**|Gael Le Lan et.al.|[2407.03648](http://arxiv.org/abs/2407.03648)|null|
|**2024-10-15**|**Hessian-Informed Flow Matching**|Christopher Iliffe Sprague et.al.|[2410.11433](http://arxiv.org/abs/2410.11433)|null|
|**2024-10-11**|**DFM: Interpolant-free Dual Flow Matching**|Denis Gudovskiy et.al.|[2410.09246](http://arxiv.org/abs/2410.09246)|null|
|**2024-10-11**|**Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI**|Moritz Piening et.al.|[2410.08894](http://arxiv.org/abs/2410.08894)|null|
|**2024-10-11**|**Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow**|Fu-Yun Wang et.al.|[2410.07303](http://arxiv.org/abs/2410.07303)|null|
|**2024-10-10**|**Simple ReFlow: Improved Techniques for Fast Flow Models**|Beomsu Kim et.al.|[2410.07815](http://arxiv.org/abs/2410.07815)|null|
|**2024-10-10**|**Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching**|Akshay Subramanian et.al.|[2410.07539](http://arxiv.org/abs/2410.07539)|null|
|**2024-10-10**|**Flow matching achieves almost minimax optimal convergence**|Kenji Fukumizu et.al.|[2405.20879](http://arxiv.org/abs/2405.20879)|null|
|**2024-10-03**|**CaLMFlow: Volterra Flow Matching using Causal Language Models**|Sizhuang He et.al.|[2410.05292](http://arxiv.org/abs/2410.05292)|null|
|**2024-10-01**|**EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics**|Chenqing Hua et.al.|[2410.00327](http://arxiv.org/abs/2410.00327)|null|
|**2024-09-29**|**FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling**|Zaixi Zhang et.al.|[2409.19645](http://arxiv.org/abs/2409.19645)|null|
|**2024-09-29**|**Generalized Protein Pocket Generation with Prior-Informed Flow Matching**|Zaixi Zhang et.al.|[2409.19520](http://arxiv.org/abs/2409.19520)|null|
|**2024-09-26**|**FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner**|Wenliang Zhao et.al.|[2409.18128](http://arxiv.org/abs/2409.18128)|null|
|**2024-09-24**|**Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models**|Sijing Chen et.al.|[2409.12139](http://arxiv.org/abs/2409.12139)|null|
|**2024-09-19**|**Flow-TSVAD: Target-Speaker Voice Activity Detection via Latent Flow Matching**|Zhengyang Chen et.al.|[2409.04859](http://arxiv.org/abs/2409.04859)|null|
|**2024-09-18**|**Design of Ligand-Binding Proteins with Atomic Flow Matching**|Junqi Liu et.al.|[2409.12080](http://arxiv.org/abs/2409.12080)|null|
|**2024-09-17**|**Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-Speech**|Haibin Wu et.al.|[2407.12229](http://arxiv.org/abs/2407.12229)|null|
|**2024-09-13**|**DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset**|Jiawei Du et.al.|[2409.08731](http://arxiv.org/abs/2409.08731)|null|
|**2024-09-13**|**Optimal Low-dimensional Approximation of Transfer Operators via Flow Matching: Computation and Error Analysis**|Zhicheng Zhang et.al.|[2408.15981](http://arxiv.org/abs/2408.15981)|null|
|**2024-09-12**|**Theoretical guarantees in KL for Diffusion Flow Matching**|Marta Gentiloni Silveri et.al.|[2409.08311](http://arxiv.org/abs/2409.08311)|null|
|**2024-09-12**|**Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning**|Bo Liang et.al.|[2409.07957](http://arxiv.org/abs/2409.07957)|null|
|**2024-09-12**|**E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS**|Sefik Emre Eskimez et.al.|[2406.18009](http://arxiv.org/abs/2406.18009)|null|
|**2024-09-11**|**Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching**|Eugenio Chisari et.al.|[2409.07343](http://arxiv.org/abs/2409.07343)|null|
|**2024-09-10**|**Disentangling the Prosody and Semantic Information with Pre-trained Model for In-Context Learning based Zero-Shot Voice Conversion**|Zhengyang Chen et.al.|[2409.05004](http://arxiv.org/abs/2409.05004)|null|
|**2024-09-06**|**ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching**|Niklas Funk et.al.|[2409.04576](http://arxiv.org/abs/2409.04576)|null|
|**2024-08-29**|**Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities**|Dongyeop Woo et.al.|[2408.16249](http://arxiv.org/abs/2408.16249)|null|
|**2024-08-28**|**Scaling Up Diffusion and Flow-based XGBoost Models**|Jesse C. Cresswell et.al.|[2408.16046](http://arxiv.org/abs/2408.16046)|null|
|**2024-08-28**|**Drop the beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation**|Ziqian Ning et.al.|[2408.15474](http://arxiv.org/abs/2408.15474)|null|
|**2024-08-24**|**Resonant excitation of Kelvin waves by interactions of subtropical Rossby waves and the zonal mean flow**|Katharina M. Holube et.al.|[2407.17937](http://arxiv.org/abs/2407.17937)|null|
|**2024-08-15**|**Accelerating High-Fidelity Waveform Generation via Adversarial Flow Matching Optimization**|Sang-Hoon Lee et.al.|[2408.08019](http://arxiv.org/abs/2408.08019)|null|
|**2024-08-14**|**PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation**|Sang-Hoon Lee et.al.|[2408.07547](http://arxiv.org/abs/2408.07547)|null|
|**2024-08-13**|**Multi-Agent Continuous Control with Generative Flow Networks**|Shuang Luo et.al.|[2408.06920](http://arxiv.org/abs/2408.06920)|null|
|**2024-07-22**|**Improved motif-scaffolding with SE(3) flow matching**|Jason Yim et.al.|[2401.04082](http://arxiv.org/abs/2401.04082)|null|
|**2024-07-09**|**CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens**|Zhihao Du et.al.|[2407.05407](http://arxiv.org/abs/2407.05407)|null|
|**2024-07-08**|**Improving AlphaFlow for Efficient Protein Ensembles Generation**|Shaoning Li et.al.|[2407.12053](http://arxiv.org/abs/2407.12053)|null|
|**2024-07-02**|**Consistency Flow Matching: Defining Straight Flows with Velocity Consistency**|Ling Yang et.al.|[2407.02398](http://arxiv.org/abs/2407.02398)|null|
|**2024-06-23**|**Step-by-Step Diffusion: An Elementary Tutorial**|Preetum Nakkiran et.al.|[2406.08929](http://arxiv.org/abs/2406.08929)|null|
|**2024-06-20**|**Video Generation with Learned Action Prior**|Meenakshi Sarkar et.al.|[2406.14436](http://arxiv.org/abs/2406.14436)|null|
|**2024-06-16**|**Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation**|Or Tal et.al.|[2406.10970](http://arxiv.org/abs/2406.10970)|null|
|**2024-06-13**|**FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching**|Chaeyoung Jung et.al.|[2406.09286](http://arxiv.org/abs/2406.09286)|null|
|**2024-06-13**|**Generating Speakers by Prompting Listener Impressions for Pre-trained Multi-Speaker Text-to-Speech Systems**|Zhengyang Chen et.al.|[2406.08812](http://arxiv.org/abs/2406.08812)|null|
|**2024-06-13**|**Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers**|Peng Gao et.al.|[2405.05945](http://arxiv.org/abs/2405.05945)|null|
|**2024-06-12**|**LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation**|Wenhao Guan et.al.|[2406.08203](http://arxiv.org/abs/2406.08203)|null|
|**2024-06-09**|**An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS**|Xiaofei Wang et.al.|[2406.05699](http://arxiv.org/abs/2406.05699)|null|
|**2024-06-09**|**RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching**|Divya Nori et.al.|[2405.18768](http://arxiv.org/abs/2405.18768)|null|
|**2024-06-08**|**Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech**|Shivam Mehta et.al.|[2406.05401](http://arxiv.org/abs/2406.05401)|null|
|**2024-06-07**|**Variational Flow Matching for Graph Generation**|Floor Eijkelboom et.al.|[2406.04843](http://arxiv.org/abs/2406.04843)|null|
|**2024-06-07**|**FlowMM: Generating Materials with Riemannian Flow Matching**|Benjamin Kurt Miller et.al.|[2406.04713](http://arxiv.org/abs/2406.04713)|null|
|**2024-06-07**|**Boosting Diffusion Model for Spectrogram Up-sampling in Text-to-speech: An Empirical Study**|Chong Zhang et.al.|[2406.04633](http://arxiv.org/abs/2406.04633)|null|
|**2024-06-06**|**Total-Duration-Aware Duration Modeling for Text-to-Speech Systems**|Sefik Emre Eskimez et.al.|[2406.04281](http://arxiv.org/abs/2406.04281)|null|
|**2024-06-06**|**Simulation-based Inference for Gravitational-waves from Intermediate-Mass Binary Black Holes in Real Noise**|Vivien Raymond et.al.|[2406.03935](http://arxiv.org/abs/2406.03935)|null|
|**2024-06-02**|**Full-Atom Peptide Design based on Multi-modal Flow Matching**|Jiahan Li et.al.|[2406.00735](http://arxiv.org/abs/2406.00735)|null|
|**2024-05-28**|**Reflected Flow Matching**|Tianyu Xie et.al.|[2405.16577](http://arxiv.org/abs/2405.16577)|null|
|**2024-05-23**|**Switched Flow Matching: Eliminating Singularities via Switching ODEs**|Qunxi Zhu et.al.|[2405.11605](http://arxiv.org/abs/2405.11605)|null|
|**2024-05-23**|**From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems**|Xin Li et.al.|[2405.11542](http://arxiv.org/abs/2405.11542)|null|
|**2024-05-16**|**Faces that Speak: Jointly Synthesising Talking Face and Speech from Text**|Youngjoon Jang et.al.|[2405.10272](http://arxiv.org/abs/2405.10272)|null|
|**2024-05-01**|**F $^3$ low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3) Guided Flow Matching**|Shaoning Li et.al.|[2405.00751](http://arxiv.org/abs/2405.00751)|null|
|**2024-03-12**|**Simulation-free Schrödinger bridges via score and flow matching**|Alexander Tong et.al.|[2307.03672](http://arxiv.org/abs/2307.03672)|null|
|**2024-03-12**|**Improving and generalizing flow-based generative models with minibatch optimal transport**|Alexander Tong et.al.|[2302.00482](http://arxiv.org/abs/2302.00482)|null|
|**2023-11-27**|**Equivariant flow matching**|Leon Klein et.al.|[2306.15030](http://arxiv.org/abs/2306.15030)|null|
|**2023-10-30**|**Flow Matching for Scalable Simulation-Based Inference**|Maximilian Dax et.al.|[2305.17161](http://arxiv.org/abs/2305.17161)|null|
|**2023-07-18**|**Flow Matching in Latent Space**|Quan Dao et.al.|[2307.08698](http://arxiv.org/abs/2307.08698)|null|

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