Awesome-Physics-Cognition-based-Video-Generation

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Awesome-Physics-Cognition-based-Video-Generation

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A comprehensive list of papers investigating physical cognition in video generation, including papers, codes, and related websites.

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# Awesome-Physics-Cognition-based-Video-Generation

🚀🚀🚀 This is a repository for organizing papers, codes, and other resources related to physics cognition-based video generation. This repo is being actively updated, please stay tuned!
For more detailed information, please refer to our survey paper: [Exploring the Evolution of Physics Cognition in Video Generation: A Survey](https://arxiv.org/abs/2503.21765).

This paper list covers **T2V, V2V, and dynamic 3D and 4D generation based on physics**, and includes some **world models and world simulators**.

If you find this repository useful, please consider giving us a star 🌟 and a [cite](https://arxiv.org/abs/2503.21765).

## ⚡ Contributing

We welcome feedback, suggestions, and contributions that can help improve this survey and repository and make them valuable resources for the entire community.
We will actively maintain this repository by incorporating new research as it emerges. If you have any suggestions about our taxonomy, please take a look at any missed papers, or update any preprint arXiv paper that has been accepted to some venue.

If you want to add your work or model to this list, please do not hesitate to pull requests.

Markdown format:
```markdown
 * Paper Name. [[Paper]](link) [[Code]](link) [[Website]](link) [**Name of Conference or Journal + Year**]
```

## 📖 Table of Contents

- [⚡ Contributing](#-contributing)
- [📖 Table of Contents](#-table-of-contents)
  - [Workshops](#workshops)
  - [Surveys](#surveys)
  - [Basic Schematic Perception for Generation](#basic-schematic-perception-for-generation)
  - [Passive Cognition of Physical Knowledge for Generation](#passive-cognition-of-physical-knowledge-for-generation)
  - [Active Cognition for World Simulation](#active-cognition-for-world-simulation)
  - [Datasets, Benchmarks and Metrics](#datasets-benchmarks-and-metrics)
  - [Physical Understanding](#physical-understanding)
    - [VLMs, LLMs, MLLMs on Physical Understanding](#vlms-llms-mllms-on-physical-understanding)
    - [Benchmarks](#benchmarks)
- [♥️ Star History](#️-star-history)
- [📑 Citation](#-citation)

### Workshops
| Title  | Website | Date|
| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
|[Building Physically Plausible World Models](https://physical-world-modeling.github.io/#call)|[![Website](https://img.shields.io/badge/Website-9cf)](https://physical-world-modeling.github.io/#call)|ICML 2025 Workshop, Vancouver Saturday, July 19 (Whole-Day Workshop)|
|[1st Workshop on Vision Meets Physics: Synergizing Physical Simulation and Computer Vision](https://visionmeetphysics.github.io/)|[![Website](https://img.shields.io/badge/Website-9cf)](https://visionmeetphysics.github.io/)|CVPR 2025 Workshop, June 12 (full day), 2025|

### Surveys
|                                                                                                                                 Title                                                                                                                                 |                                         arXiv                                         |                                                                                   Github                                                                                   |                                                    WebSite                                                    |         Pub. & Date         |
| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------: | :--------------------------: |
|[From Specialist to Generalist: A Comprehensive Survey on World Models](https://www.techrxiv.org/doi/full/10.36227/techrxiv.176800434.49068726/v1)|-|-|-|Jan., 2026|
|[Video Generation Models in Robotics - Applications, Research Challenges, Future Directions](https://arxiv.org/abs/2601.07823)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.07823)|-|-|Jan,. 2026|
|[Simulating the Visual World with Artificial Intelligence: A Roadmap](https://arxiv.org/abs/2511.08585)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2511.08585)|[![Star](https://img.shields.io/github/stars/ziqihuangg/Awesome-From-Video-Generation-to-World-Model.svg?style=social&label=Star)](https://github.com/ziqihuangg/Awesome-From-Video-Generation-to-World-Model)|[![Website](https://img.shields.io/badge/Website-9cf)](https://world-model-roadmap.github.io/)|Nov., 2025|
|[Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI](https://arxiv.org/abs/2510.04978)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2510.04978)|[![Star](https://img.shields.io/github/stars/AI4Phys/Awesome-AI-for-Physics.svg?style=social&label=Star)](https://github.com/AI4Phys/Awesome-AI-for-Physics)|-|Oct., 2025|
|[A Survey of Interactive Generative Video](https://arxiv.org/abs/2504.21853)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.21853)|-|-|Apr., 2025 |
|[Digital Gene: Learning about the Physical World through Analytic Concepts](https://arxiv.org/abs/2504.04170)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.04170)|-|-|Apr., 2025 |
|[Simulating the Real World: A Unified Survey of Multimodal Generative Models](https://arxiv.org/abs/2503.04641)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.04641)|[![Star](https://img.shields.io/github/stars/ALEEEHU/World-Simulator.svg?style=social&label=Star)](https://github.com/ALEEEHU/World-Simulator)|-|Mar., 2025|
|[Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC](https://arxiv.org/abs/2502.07007)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2502.07007)|-|-|Feb., 2025|
|[Generative Physical AI in Vision: A Survey](https://arxiv.org/abs/2501.10928)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2501.10928)|[![Star](https://img.shields.io/github/stars/BestJunYu/Awesome-Physics-aware-Generation.svg?style=social&label=Star)](https://github.com/BestJunYu/Awesome-Physics-aware-Generation)|-|Jan., 2025|
|[Physics-Informed Computer Vision: A Review and Perspectives](https://dl.acm.org/doi/full/10.1145/3689037)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2305.18035)|-|-|ACM Computing Surveys, 2024|

### Basic Schematic Perception for Generation

|                                                                                                                                 Title                                                                                                                                 |                                         arXiv                                         |                                                                                   Github                                                                                   |                                                    WebSite                                                    |         Pub. & Date         |
| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------: | :--------------------------: |
|[Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models](https://arxiv.org/abs/2511.00503)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2511.00503)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://paulpanwang.github.io/Diff4Splat/)|Nov., 2025|
|[Geometry-aware 4D Video Generation for Robot Manipulation](https://arxiv.org/abs/2507.01099)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2507.01099)|[![Star](https://img.shields.io/github/stars/lzylucy/4dgen.svg?style=social&label=Star)](https://github.com/lzylucy/4dgen?tab=readme-ov-file)|[![Website](https://img.shields.io/badge/Website-9cf)](https://robot4dgen.github.io/)|Jul., 2025|
|[CoCo4D: Comprehensive and Complex 4D Scene Generation](https://arxiv.org/abs/2506.19798)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.19798)|[![Star](https://img.shields.io/github/stars/Colezwhy/CoCo4D-Gen.svg?style=social&label=Star)](https://github.com/Colezwhy/CoCo4D-Gen)|[![Website](https://img.shields.io/badge/Website-9cf)](https://colezwhy.github.io/coco4d/)|Jun., 2025|
|[Generative Blocks World: Moving Things Around in Pictures](https://arxiv.org/abs/2506.20703)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.20703)|-|-|Jun., 2025|
|[UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting](https://arxiv.org/abs/2506.15673)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.15673)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://research.nvidia.com/labs/toronto-ai/UniRelight/)|Jun., 2025|
|[IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation](https://arxiv.org/abs/2506.03150)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.03150)|[![Star](https://img.shields.io/github/stars/yuanze-lin/IllumiCraft.svg?style=social&label=Star)](https://github.com/yuanze-lin/IllumiCraft)|[![Website](https://img.shields.io/badge/Website-9cf)](https://yuanze-lin.me/IllumiCraft_page/)|Jun., 2025|
|[MotionPro: A Precise Motion Controller for Image-to-Video Generation](https://arxiv.org/abs/2505.20287)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.20287)|[![Star](https://img.shields.io/github/stars/HiDream-ai/MotionPro.svg?style=social&label=Star)](https://github.com/HiDream-ai/MotionPro)|[![Website](https://img.shields.io/badge/Website-9cf)](https://zhw-zhang.github.io/MotionPro-page/)|May, 2025, CVPR|
|[ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction](https://arxiv.org/abs/2504.21855)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.21855)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://revision-video.github.io/)|Apr., 2025|
|[Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation](https://arxiv.org/abs/2503.24379)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.24379)|[![Star](https://img.shields.io/github/stars/ChocoWu/Any2Caption.svg?style=social&label=Star)](https://github.com/ChocoWu/Any2Caption)|[![Website](https://img.shields.io/badge/Website-9cf)](https://sqwu.top/Any2Cap/)|Mar., 2025|
| [Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach](https://arxiv.org/abs/2502.03639) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2502.03639) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://snap-research.github.io/PointVidGen/) | Feb, 2025 |
| [SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation](https://arxiv.org/abs/2411.04989) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.04989) | [![Star](https://img.shields.io/github/stars/Kmcode1/SG-I2V.svg?style=social&label=Star)](https://github.com/Kmcode1/SG-I2V) | [![Website](https://img.shields.io/badge/Website-9cf)](https://kmcode1.github.io/Projects/SG-I2V/) | ICLR, 2025 |
| [TrackGo: A Flexible and Efficient Method for Controllable Video Generation](https://arxiv.org/abs/2408.11475) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2408.11475) | - | - | AAAI, 2025 |
| [3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation](https://arxiv.org/abs/2403.17920) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2403.17920) | [![Star](https://img.shields.io/github/stars/KwaiVGI/3DTrajMaster.svg?style=social&label=Star)](https://github.com/KwaiVGI/3DTrajMaster) | [![Website](https://img.shields.io/badge/Website-9cf)](https://fuxiao0719.github.io/projects/3dtrajmaster/) | ICLR, 2025 |
|[Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis](https://arxiv.org/abs/2412.02168)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.02168)|[![Star](https://img.shields.io/github/stars/pandayuanyu/generative-photography.svg?style=social&label=Star)](https://github.com/pandayuanyu/generative-photography)|[![Website](https://img.shields.io/badge/Website-9cf)](https://generative-photography.github.io/project/)| CVPR, 2025|
| [Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset](https://arxiv.org/abs/2503.14485) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.14485) |  | [![Website](https://img.shields.io/badge/Website-9cf)](https://www.eyelinestudios.com/research/luxpostfacto.html) | CVPR,2025 |
| [Identity-Preserving Text-to-Video Generation by Frequency Decomposition](https://arxiv.org/abs/2411.17440) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.17440) | [![Star](https://img.shields.io/github/stars/PKU-YuanGroup/ConsisID.svg?style=social&label=Star)](https://github.com/PKU-YuanGroup/ConsisID) | [![Website](https://img.shields.io/badge/Website-9cf)](https://pku-yuangroup.github.io/ConsisID/) | CVPR, 2025 |
| [Motion Modes: What Could Happen Next?](https://arxiv.org/abs/2412.00148) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.00148) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://motionmodes.github.io/) | CVPR, 2025 |
| [Motion Prompting: Controlling Video Generation with Motion Trajectories](https://arxiv.org/abs/2412.02700) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.02700) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://motion-prompting.github.io/) | CVPR, 2025 (Oral) |
| [Spectral Motion Alignment for Video Motion Transfer using Diffusion Models](https://arxiv.org/abs/2403.15249) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2403.15249) | [![Star](https://img.shields.io/github/stars/geonyeong-park/Spectral-Motion-Alignment.svg?style=social&label=Star)](https://github.com/geonyeong-park/Spectral-Motion-Alignment) | [![Website](https://img.shields.io/badge/Website-9cf)](https://geonyeong-park.github.io/spectral-motion-alignment/) | AAAI, 2025 |
| [Video Creation by Demonstration](https://arxiv.org/abs/2412.09551) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.09551) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://delta-diffusion.github.io/) | Dec., 2024 |
| [InterDyn: Controllable Interactive Dynamics with Video Diffusion Models](https://arxiv.org/abs/2412.11785) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.11785) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://interdyn.is.tue.mpg.de/) | Dec., 2024,CVPR 25|
| [LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis](https://arxiv.org/abs/2412.15214) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.15214) | [![Star](https://img.shields.io/github/stars/qiuyu96/LeviTor.svg?style=social&label=Star)](https://github.com/qiuyu96/LeviTor) | [![Website](https://img.shields.io/badge/Website-9cf)](https://ppetrichor.github.io/levitor.github.io/) | Dec., 2024 |
| [GenLit: Reformulating Single-Image Relighting as Video Generation](https://arxiv.org/abs/2412.11224) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.11224) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://genlit-probingi2v.github.io/) | Dec., 2024 |
| [Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion Reasoning ](https://arxiv.org/abs/2412.00547) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.00547) | [![Star](https://img.shields.io/github/stars/EnVision-Research/MotionDreamer.svg?style=social&label=Star)](https://github.com/EnVision-Research/MotionDreamer) | [![Website](https://img.shields.io/badge/Website-9cf)](https://envision-research.github.io/MotionDreamer/) | Nov., 2024. |
| [AnimateAnything: Consistent and Controllable Animation for Video Generation](https://arxiv.org/abs/2411.10836) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.10836) | [![Star](https://img.shields.io/github/stars/yu-shaonian/AnimateAnything.svg?style=social&label=Star)](https://github.com/yu-shaonian/AnimateAnything) | [![Website](https://img.shields.io/badge/Website-9cf)](https://yu-shaonian.github.io/Animate_Anything/) | Nov., 2024 |
| [InTraGen: Trajectory-controlled Video Generation for Object Interactions](https://arxiv.org/abs/2411.16804) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.16804) | [![Star](https://img.shields.io/github/stars/insait-institute/InTraGen.svg?style=social&label=Star)](https://github.com/insait-institute/InTraGen) | - | Nov., 2024 |
| [DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control](https://arxiv.org/abs/2410.13830) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.13830) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://dreamvideo2.github.io/) | Oct., 2024 |
| [LumiSculpt: A Consistency Lighting Control Network for Video Generation](https://arxiv.org/abs/2410.22979) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.22979) | - | - | Oct., 2024 |
| [Tora: Trajectory-oriented Diffusion Transformer for Video Generation](https://arxiv.org/abs/2407.21705) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2407.21705) | [![Star](https://img.shields.io/github/stars/alibaba/Tora.svg?style=social&label=Star)](https://github.com/alibaba/Tora) | [![Website](https://img.shields.io/badge/Website-9cf)](https://ali-videoai.github.io/tora_video/) | Jul., 2024 |
| [UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation](https://arxiv.org/abs/2406.01188) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2406.01188) | [![Star](https://img.shields.io/github/stars/ali-vilab/UniAnimate.svg?style=social&label=Star)](https://github.com/ali-vilab/UniAnimate) | [![Website](https://img.shields.io/badge/Website-9cf)](https://unianimate.github.io/) | Jun., 2024 |
| [Image Conductor: Precision Control for Interactive Video Synthesis](https://arxiv.org/abs/2406.15339) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2406.15339) | [![Star](https://img.shields.io/github/stars/liyaowei-stu/ImageConductor.svg?style=social&label=Star)](https://github.com/liyaowei-stu/ImageConductor) | [![Website](https://img.shields.io/badge/Website-9cf)](https://liyaowei-stu.github.io/project/ImageConductor/) | Jun., 2024 |
| [Motion Inversion for Video Customization](https://arxiv.org/abs/2403.20193) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2403.20193) | [![Star](https://img.shields.io/github/stars/EnVision-Research/MotionInversion.svg?style=social&label=Star)](https://github.com/EnVision-Research/MotionInversion) | [![Website](https://img.shields.io/badge/Website-9cf)](https://wileewang.github.io/MotionInversion/) | Mar., 2024 |
| [VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models](https://openaccess.thecvf.com/content/CVPR2024/html/Jeong_VMC_Video_Motion_Customization_using_Temporal_Attention_Adaption_for_Text-to-Video_CVPR_2024_paper.html) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2312.00845) |     [![Star](https://img.shields.io/github/stars/HyeonHo99/Video-Motion-Customization.svg?style=social&label=Star)](https://github.com/HyeonHo99/Video-Motion-Customization)     |        [![Website](https://img.shields.io/badge/Website-9cf)](https://video-motion-customization.github.io/)        |          CVPR, 2024          |
|                                                                 [MotionDirector: Motion Customization of Text-to-Video Diffusion Models](https://link.springer.com/chapter/10.1007/978-3-031-72992-8_16)                                                                 | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2310.08465) |                   [![Star](https://img.shields.io/github/stars/showlab/MotionDirector.svg?style=social&label=Star)](https://github.com/showlab/MotionDirector)                   |          [![Website](https://img.shields.io/badge/Website-9cf)](https://showlab.github.io/MotionDirector/)          |       ECCV, 2024, Oral       |
|             [FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis](https://openaccess.thecvf.com/content/CVPR2024/html/Liang_FlowVid_Taming_Imperfect_Optical_Flows_for_Consistent_Video-to-Video_Synthesis_CVPR_2024_paper.html)             | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2312.17681) |                                                                                      -                                                                                      |       [![Website](https://img.shields.io/badge/Website-9cf)](https://jeff-liangf.github.io/projects/flowvid/)       |    CVPR, 2024, Highlight    |
| [Generative Image Dynamics](https://openaccess.thecvf.com/content/CVPR2024/html/Li_Generative_Image_Dynamics_CVPR_2024_paper.html) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2309.07906) | [![Star](https://img.shields.io/github/stars/fltwr/generative-image-dynamics.svg?style=social&label=Star)](https://github.com/fltwr/generative-image-dynamics) | [![Website](https://img.shields.io/badge/Website-9cf)](https://generative-dynamics.github.io/) | CVPR, 2024, Best Paper Award |
|                               [MotionCtrl: A Unified and Flexible Motion Controller for Video Generation](https://dl.acm.org/doi/10.1145/3641519.3657518)                               | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2312.03641) |           [![Star](https://img.shields.io/github/stars/TencentARC/MotionCtrl.svg?style=social&label=Star)](https://github.com/TencentARC/MotionCtrl)           |  [![Website](https://img.shields.io/badge/Website-9cf)](https://wzhouxiff.github.io/projects/MotionCtrl/)  | SIGGRAPH, 2024 |
| [MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model](https://link.springer.com/chapter/10.1007/978-3-031-72655-2_7) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2405.20222) |              [![Star](https://img.shields.io/github/stars/MyNiuuu/MOFA-Video.svg?style=social&label=Star)](https://github.com/MyNiuuu/MOFA-Video)              |       [![Website](https://img.shields.io/badge/Website-9cf)](https://myniuuu.github.io/MOFA_Video/)       |   ECCV, 2024   |
|                    [Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling](https://dl.acm.org/doi/10.1145/3641519.3657497)                    | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2401.15977) |        [![Star](https://img.shields.io/github/stars/EnVision-Research/MotionDreamer.svg?style=social&label=Star)](https://github.com/G-U-N/Motion-I2V)        |     [![Website](https://img.shields.io/badge/Website-9cf)](https://xiaoyushi97.github.io/Motion-I2V/)     | SIGGRAPH, 2024 |
|                         [DragAnything: Motion Control for Anything using Entity Representation](https://link.springer.com/chapter/10.1007/978-3-031-72670-5_19)                         | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2403.07420) |            [![Star](https://img.shields.io/github/stars/showlab/DragAnything.svg?style=social&label=Star)](https://github.com/showlab/DragAnything)            |   [![Website](https://img.shields.io/badge/Website-9cf)](https://weijiawu.github.io/draganything_page/)   |   ECCV, 2024   |
|                                [FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing](https://openreview.net/forum?id=JgqftqZQZ7)                                | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2310.05922) |                  [![Star](https://img.shields.io/github/stars/yrcong/flatten.svg?style=social&label=Star)](https://github.com/yrcong/flatten)                  |      [![Website](https://img.shields.io/badge/Website-9cf)](https://flatten-video-editing.github.io/)      |   ICLR, 2024   |
| [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://arxiv.org/abs/2311.17117) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2311.17117) | [![Star](https://img.shields.io/github/stars/HumanAIGC/AnimateAnyone.svg?style=social&label=Star)](https://github.com/HumanAIGC/AnimateAnyone) | [![Website](https://img.shields.io/badge/Website-9cf)](https://humanaigc.github.io/animate-anyone/) | CVPR, 2024 |
| [Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion](https://dl.acm.org/doi/10.1145/3641519.3657481) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2402.03162) |     [![Star](https://img.shields.io/github/stars/ysy31415/direct_a_video.svg?style=social&label=Star)](https://github.com/ysy31415/direct_a_video)     |           [![Website](https://img.shields.io/badge/Website-9cf)](https://direct-a-video.github.io/)           | SIGGRAPH, 2024 |
| [Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling](https://arxiv.org/abs/2401.15977) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2401.15977) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://direct-a-video.github.io/) | SIGGRAPH, 2024 |
| [Compositional 3D-aware Video Generation with LLM Director](https://openreview.net/forum?id=oqdy2EFrja&referrer=%5Bthe%20profile%20of%20Zhibo%20Chen%5D(%2Fprofile%3Fid%3D~Zhibo_Chen1)) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2409.00558) |                                                                  -                                                                  | [![Website](https://img.shields.io/badge/Website-9cf)](https://www.microsoft.com/en-us/research/project/compositional-3d-aware-video-generation/) | NIPS, 2024 |
|                                   [TC4D: Trajectory-Conditioned Text-to-4D Generation](https://link.springer.com/chapter/10.1007/978-3-031-72952-2_4)                                   | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2403.17920) |  [![Star](https://img.shields.io/github/stars/sherwinbahmani/tc4d.svg?style=social&label=Star)](https://github.com/sherwinbahmani/tc4d)  |                          [![Website](https://img.shields.io/badge/Website-9cf)](https://sherwinbahmani.github.io/tc4d/)                          | ECCV, 2024 |
| [DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory]() | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2308.08089) | - |[![Website](https://img.shields.io/badge/Website-9cf)](https://www.microsoft.com/en-us/research/project/dragnuwa/)| Aug., 2023 |
| [Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learnin](https://arxiv.org/abs/2305.13840) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2305.13840) | [![Star](https://img.shields.io/github/stars/Weifeng-Chen/control-a-video.svg?style=social&label=Star)](https://github.com/Weifeng-Chen/control-a-video) | [![Website](https://img.shields.io/badge/Website-9cf)](https://controlavideo.github.io/) | May., 2023 |
| [VideoComposer: Compositional Video Synthesis with Motion Controllability](https://arxiv.org/abs/2306.02018) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2306.02018) | [![Star](https://img.shields.io/github/stars/ali-vilab/videocomposer.svg?style=social&label=Star)](https://github.com/insait-institute/InTraGen) | [![Website](https://img.shields.io/badge/Website-9cf)](https://videocomposer.github.io/) | NeurIPS,  2023 |
| [Adding Conditional Control to Text-to-Image Diffusion Models](https://arxiv.org/abs/2302.05543) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2302.05543) | [![Star](https://img.shields.io/github/stars/lllyasviel/ControlNet.svg?style=social&label=Star)](https://github.com/lllyasviel/ControlNet) | - | ICCV, 2023, Best Paper Award |

### Passive Cognition of Physical Knowledge for Generation
|                                                                                                                                 Title                                                                                                                                 |                                         arXiv                                         |                                                                                   Github                                                                                   |                                                    WebSite                                                    |         Pub. & Date         |
| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------: | :--------------------------: |
|[OptiWorld: Optimal Control for Video World Generation under Physical Constraints](https://arxiv.org/pdf/2606.00499)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/pdf/2606.00499)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://yuyuanspace.com/OptiWorld/)|Jun., 2026|
|[NEWTON: Agentic Planning for Physically Grounded Video Generation](https://arxiv.org/abs/2605.18396)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2605.18396)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://newton026.github.io/newton/)|May, 2026|
|[TelePhysics: Physics-Grounded Multi-Object Scene Generation from a Single Image with Real-Time Interaction](https://arxiv.org/abs/2605.20290)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2605.20290)|[![Website](https://img.shields.io/badge/Website-9cf)](https://telephysics.github.io/)|May, 2026|
|[PhysVid: Physics Aware Local Conditioning for Generative Video Models](https://arxiv.org/abs/2603.26285)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.26285)|-|-|CVPR 2026|
|[MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation](https://arxiv.org/abs/2601.00504)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.00504)|[![Star](https://img.shields.io/github/stars/wangmiaowei/MotionPhysics.svg?style=social&label=Star)](https://github.com/wangmiaowei/MotionPhysics)|[![Website](https://img.shields.io/badge/Website-9cf)](https://wangmiaowei.github.io/MotionPhysics.github.io/)|AAAI, 2026|
|[Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion](https://arxiv.org/abs/2603.03485)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.03485)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://sensational-brioche-7657e7.netlify.app/)|Mar., 2026|
|[PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment](https://arxiv.org/abs/2603.13770)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.13770)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://physalign.github.io/PhysAlign/)|Mar., 2026|
|[Physical Simulator In-the-Loop Video Generation](https://arxiv.org/abs/2603.06408)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.06408)|[![Star](https://img.shields.io/github/stars/MarkHershey/PSIVG.svg?style=social&label=Star)](https://github.com/MarkHershey/PSIVG)|[![Website](https://img.shields.io/badge/Website-9cf)](https://vcai.mpi-inf.mpg.de/projects/PSIVG/)|CVPR, 2026|
|[PhysVideo: Physically Plausible Video Generation with Cross-View Geometry Guidance](https://arxiv.org/abs/2603.18639)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.18639)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://anonymous.4open.science/w/Phys4D/)|Mar., 2026|
|[Chain of Event-Centric Causal Thought for Physically Plausible Video Generation](https://arxiv.org/abs/2603.09094)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.09094)|-|-|CVPR, 2026|
|[RealWonder: Real-Time Physical Action-Conditioned Video Generation](https://arxiv.org/abs/2603.05449)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.05449)|[![Star](https://img.shields.io/github/stars/liuwei283/RealWonder.svg?style=social&label=Star)](https://github.com/liuwei283/RealWonder)|[![Website](https://img.shields.io/badge/Website-9cf)](https://liuwei283.github.io/RealWonder/)|Mar., 2026|
|[Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals](https://arxiv.org/abs/2601.05848)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.05848)|[![Star](https://img.shields.io/github/stars/brown-palm/goal-force.svg?style=social&label=Star)](https://github.com/brown-palm/goal-force)|[![Website](https://img.shields.io/badge/Website-9cf)](https://goal-force.github.io/)|CVPR, 2026|
|[PI-Light: Physics-Inspired Diffusion for Full-Image Relighting](https://arxiv.org/abs/2601.22135)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.22135)|[![Star](https://img.shields.io/github/stars/ZhexinLiang/PI-Light.svg?style=social&label=Star)](https://github.com/ZhexinLiang/PI-Light)|-|ICLR 2026|
|[Self-Refining Video Sampling](https://arxiv.org/abs/2601.18577)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.18577)|[![Star](https://img.shields.io/github/stars/agwmon/self-refine-video.svg?style=social&label=Star)](https://github.com/agwmon/self-refine-video)|[![Website](https://img.shields.io/badge/Website-9cf)](https://agwmon.github.io/self-refine-video/)|Jan., 2026|
|[FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos](https://arxiv.org/abs/2512.10927)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2512.10927)|[![Star](https://img.shields.io/github/stars/Wolfv0/FoundationMotion.svg?style=social&label=Star)](https://github.com/Wolfv0/FoundationMotion)|[![Website](https://img.shields.io/badge/Website-9cf)](https://yulugan.com/projects/FoundationMotion.html)|Dec., 2025|
|[VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation](https://arxiv.org/abs/2512.11061)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2512.11061)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://felixomahony.github.io/vdaworld/)|Dec., 2025|
|[Bootstrapping Physics-Grounded Video Generation through VLM-Guided Iterative Self-Refinement](https://arxiv.org/abs/2511.20280)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2511.20280)|-|-|ICCV 2025 Physics-IQ Challenge Third Place|
|[ProPhy: Progressive Physical Alignment for Dynamic World Simulation](https://arxiv.org/pdf/2512.05564)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/pdf/2512.05564)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://zijunwa.github.io/prophy/)|Dec., 2025|
|[Planning with Sketch-Guided Verification for Physics-Aware Video Generation](http://arxiv.org/abs/2511.17450)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](http://arxiv.org/abs/2511.17450)|[![Star](https://img.shields.io/github/stars/h6kplus/SketchVerify.svg?style=social&label=Star)](https://github.com/h6kplus/SketchVerify)|[![Website](https://img.shields.io/badge/Website-9cf)](https://sketchverify.github.io/)|Nov., 2025|
|[Bootstrapping Physics-Grounded Video Generation through VLM-Guided Iterative Self-Refinement](https://arxiv.org/abs/2511.20280)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2511.20280)|-|-|Nov., ICCV 2025 Physics-IQ Challenge Third Place Solution|
|[CP4D: Compositional physics-aware 4D scene generation](https://openreview.net/forum?id=5qd7V5TNGV)|-|-|-|Oct., 2025|
|[3DPhysVideo: 3D Scene Reconstruction and Physical Animation Leveraging a Video Generation Model via Consistency-Guided Flow SDE](https://openreview.net/forum?id=8TgzLrWgrk)|-|-|-|Oct., 2025|
|[PhyMAGIC: Physical Motion-Aware Generative Inference with Confidence-guided LLM](https://openreview.net/attachment?id=nruZar3Aaz&name=pdf)|-|-|-|Oct., 2025|
|[DiffuPhyGS: Text-to-Video Generation with 3D Gaussians and Learnable Physical Properties via Diffusion Priors](https://openreview.net/forum?id=mq43BAAos0)|-|-|-|Oct., 2025|
|[Fracture-GS: Dynamic Fracture Simulation with Physics-Integrated Gaussian Splatting](https://openreview.net/forum?id=zcAwK50ft0)|-|-|-|Oct., 2025|
|[PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Generation](https://openreview.net/forum?id=aCVfhY4Qen)|-|-|-|Oct., 2025|
|[Learning to Generate Object Interactions with Physics-Guided Video Diffusion](https://arxiv.org/abs/2510.02284)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2510.02284)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://daromog.github.io/KineMask/)|Oct., 2025|
|[CONTROLHAIR: Physically-based Video Diffusion for Controllable Dynamic Hair Rendering](https://www.arxiv.org/abs/2509.21541)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2509.21541)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://ctrlhair-arxiv.netlify.app/)|Sep., 2025|
|[NewtonGen: Physics-Consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics](https://arxiv.org/abs/2509.21309)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2509.21309)|[![Star](https://img.shields.io/github/stars/pandayuanyu/NewtonGen.svg?style=social&label=Star)](https://github.com/pandayuanyu/NewtonGen)|-|Sep., 2025|
|[PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models](https://arxiv.org/abs/2509.20570)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2509.20570)|[![Star](https://img.shields.io/github/stars/mingze-yuan/PIRF.svg?style=social&label=Star)](https://github.com/mingze-yuan/PIRF)|-|Sep., 2025|
|[PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation](https://cwchenwang.github.io/physctrl/static/pdfs/paper.pdf)|-|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://cwchenwang.github.io/physctrl/)|NeurIPS, 2025|
|[PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis](https://arxiv.org/abs/2508.13911)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2508.13911)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://hihixiaolv.github.io/PhysGM.github.io/)|Aug., 2025|
|[Physics-Grounded Motion Forecasting via Equation Discovery for Trajectory-Guided Image-to-Video Generation](https://arxiv.org/abs/2507.06830)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2507.06830)|-|-|Jul., 2025|
|[Dreamland: Controllable World Creation with Simulator and Generative Models](https://arxiv.org/abs/2506.08006)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.08006)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://metadriverse.github.io/dreamland/)|Jun., 2025|
|[Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation](https://arxiv.org/abs/2506.06440)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.06440)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://czzzzh.github.io/Vid2Sim/)|Jun., 2025, CVPR|
|[Physics-Guided Motion Loss for Video Generation Model](https://arxiv.org/abs/2506.02244)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.02244)|-|-|Jun., 2025|
|[Think Before You Diffuse: LLMs-Guided Physics-Aware Video Generation](https://arxiv.org/abs/2505.21653)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.21653)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://bwgzk-keke.github.io/DiffPhy/)|May, 2025|
|[Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals](https://arxiv.org/abs/2505.19386)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.19386)|[![Star](https://img.shields.io/github/stars/brown-palm/force-prompting.svg?style=social&label=Star)](https://github.com/brown-palm/force-prompting)|[![Website](https://img.shields.io/badge/Website-9cf)](https://force-prompting.github.io/)|May, 2025|
|[WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions](https://arxiv.org/abs/2505.18151)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.18151)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://kyleleey.github.io/WonderPlay/)|May, 2025|
|[MAGIC: Motion-Aware Generative Inference via Confidence-Guided LLM](https://arxiv.org/abs/2505.16456)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.16456)|-|-|May, 2025|
|[UniPhy: Learning a Unified Constitutive Model for Inverse Physics Simulation](https://arxiv.org/abs/2505.16971)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.16971)|[![Star](https://img.shields.io/github/stars/HimangiM/UniPhy_CVPR2025.svg?style=social&label=Star)](https://github.com/HimangiM/UniPhy_CVPR2025)|[![Website](https://img.shields.io/badge/Website-9cf)](https://himangim.github.io/UniPhy/)|May, 2025, CVPR|
|[FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance](https://arxiv.org/abs/2505.13437)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.13437)|[![Star](https://img.shields.io/github/stars/SmartDianLab/FinePhys.svg?style=social&label=Star)](https://github.com/SmartDianLab/FinePhys)|[![Website](https://img.shields.io/badge/Website-9cf)](https://smartdianlab.github.io/projects-FinePhys/)|May, 2025, CVPR|
|[Generating Physically Stable and Buildable LEGO Designs from Text](https://www.arxiv.org/abs/2505.05469)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2505.05469)|[![Star](https://img.shields.io/github/stars/AvaLovelace1/LegoGPT.svg?style=social&label=Star)](https://github.com/AvaLovelace1/LegoGPT/)|[![Website](https://img.shields.io/badge/Website-9cf)](https://avalovelace1.github.io/LegoGPT/)|May, 2025|
|[ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction](https://arxiv.org/abs/2504.21855)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.21855)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://revision-video.github.io/)|Apr., 2025|
|[Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning](https://arxiv.org/abs/2504.15932)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.15932)|-|-|Apr., 2025|
|[VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior](https://arxiv.org/abs/2503.23368)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://raw.githubusercontent.com/minnie-lin/Awesome-Physics-Cognition-based-Video-Generation/main/[![arXiv](https:/img.shields.io/badge/arXiv-b31b1b.svg)])|[![Star](https://img.shields.io/github/stars/Madaoer/VLIPP.svg?style=social&label=Star)](https://github.com/Madaoer/VLIPP)|[![Website](https://img.shields.io/badge/Website-9cf)](https://madaoer.github.io/projects/physically_plausible_video_generation/)|Mar., 2025|
|[Articulated Kinematics Distillation from Video Diffusion Models](https://arxiv.org/abs/2504.01204)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.01204)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://research.nvidia.com/labs/dir/akd/)|Apr., 2025; CVPR, 2025|
|[RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting](https://arxiv.org/abs/2503.21442)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.21442)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://pku-vcl-geometry.github.io/RainyGS/)|Mar., 2025; CVPR, 2025|
|[PhysGen3D: Crafting a Miniature Interactive World from a Single Image](https://arxiv.org/abs/2503.20746)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.20746)|[![Star](https://img.shields.io/github/stars/by-luckk/PhysGen3D.svg?style=social&label=Star)](https://github.com/by-luckk/PhysGen3D)|[![Website](https://img.shields.io/badge/Website-9cf)](https://by-luckk.github.io/PhysGen3D/)|Mar., 2025; CVPR, 2025|
|[AccidentSim: Generating Physically Realistic Vehicle Collision Videos from Real-World Accident Reports](https://arxiv.org/abs/2503.20654)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.20654)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://accidentsim.github.io/)|Mar., 2025|
|[Synthetic Video Enhances Physical Fidelity in Video Synthesis](https://www.arxiv.org/abs/2503.20822)| [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2503.20822)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://kevinz8866.github.io/simulation/)|Mar., 2025|
|[PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos](https://arxiv.org/abs/2503.17973)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.17973)|[![Star](https://img.shields.io/github/stars/Jianghanxiao/PhysTwin.svg?style=social&label=Star)](https://github.com/Jianghanxiao/PhysTwin)| [![Website](https://img.shields.io/badge/Website-9cf)](https://jianghanxiao.github.io/phystwin-web/)|Mar., 2025|
|[C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation](https://arxiv.org/abs/2502.19868)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2502.19868)|[![Star](https://img.shields.io/github/stars/WesLee88524/C-Drag-Official-Repo.svg?style=social&label=Star)](https://github.com/WesLee88524/C-Drag-Official-Repo)|-|Feb., 2025|
| [PhysAnimator: Physics-Guided Generative Cartoon Animation](https://arxiv.org/abs/2501.16550) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2501.16550) | - | - | Jan., 2025 |
| [OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation](https://openreview.net/forum?id=9HZtP6I5lv) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](hhttps://arxiv.org/abs/2501.18982) | - | - | ICLR, 2025 |
| [AutoVFX: Physically Realistic Video Editing from Natural Language Instructions](https://arxiv.org/abs/2411.02394) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.02394) | [![Star](https://img.shields.io/github/stars/haoyuhsu/autovfx.svg?style=social&label=Star)](https://github.com/haoyuhsu/autovfx) | [![Website](https://img.shields.io/badge/Website-9cf)](https://haoyuhsu.github.io/autovfx-website/) | 3DV, 2025 |
| [Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering](https://arxiv.org/abs/2401.15318) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2401.15318) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://gaussiansplashing.github.io/) | CVPR, 2025 |
| [Unleashing the potential of multi-modal foundation models and video diffusion for 4d dynamic physical scene simulation](https://arxiv.org/abs/2411.14423) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.14423) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://zhuomanliu.github.io/PhysFlow/) | CVPR, 2025 |
| [FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video](https://arxiv.org/abs/2503.04720) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.04720) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://yuegao.me/FluidNexus/) | CVPR, 2025 |
| [OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation]() | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2501.18982) | [![Star](https://img.shields.io/github/stars/wgsxm/OmniPhysGS.svg?style=social&label=Star)](https://github.com/wgsxm/OmniPhysGS) | [![Website](https://img.shields.io/badge/Website-9cf)](https://wgsxm.github.io/projects/omniphysgs/) | ICLR,2025 |
| [DreamPhysics: Learning Physical Properties of Dynamic 3D Gaussians with Video Diffusion Priors](https://arxiv.org/abs/2406.01476) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2406.01476) | [![Star](https://img.shields.io/github/stars/tyhuang0428/DreamPhysics.svg?style=social&label=Star)](https://github.com/tyhuang0428/DreamPhysics) | - | AAAI, 2025 |
| [GauSim: Registering Elastic Objects into Digital World by Gaussian Simulator](https://arxiv.org/abs/2412.17804) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.17804) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://www.mmlab-ntu.com/project/gausim/index.html) | Dec., 2024 |
| [ GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs](https://arxiv.org/abs/2412.11258) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.11258) | [![Star](https://img.shields.io/github/stars/xxlbigbrother/Gaussian-Property.svg?style=social&label=Star)](https://github.com/xxlbigbrother/Gaussian-Property) | [![Website](https://img.shields.io/badge/Website-9cf)](https://gaussian-property.github.io/) | Dec., 2024 |
| [Phys4DGen: A Physics-Driven Framework for Controllable and Efficient 4D Content Generation from a Single Image](https://arxiv.org/abs/2411.16800) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.16800) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://jiajinglin.github.io/Phys4DGen/) | Nov., 2024 |
|[Teaching Video Diffusion Model with Latent Physical Phenomenon Knowledge](https://arxiv.org/abs/2411.11343)| [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.11343)|[![Star](https://img.shields.io/github/stars/caoql98/TVML.svg?style=social&label=Star)](https://github.com/caoql98/TVML)|[![Website](https://img.shields.io/badge/Website-9cf)](https://qinglongcao.xyz/TVML-Diffusion.github.io/)| Nov., 2024 |
| [Llmphy: Complex physical reasoning using large language models and world models](https://arxiv.org/abs/2411.08027) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.08027) | - | - | Nov., 2024 |
| [Automated 3D Physical Simulation of Open-world Scene with Gaussian Splatting](https://arxiv.org/abs/2411.12789) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.12789) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://sim-gs.github.io/) | Nov., 2024 |
| [Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraints](https://arxiv.org/abs/2411.19381) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.19381) |                              -                               |                              -                               |            Nov., 2024             |
| [PhysMotion: Physics-Grounded Dynamics From a Single Image](https://arxiv.org/abs/2411.17189) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.17189) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://supertan0204.github.io/physmotion_website/) | Nov., 2024 |
| [Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis](https://arxiv.org/abs/2410.07155) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.07155) | [![Star](https://img.shields.io/github/stars/YangLing0818/Trans4D.svg?style=social&label=Star)](https://github.com/YangLing0818/Trans4D) | - | Oct., 2024 |
| [Phy124: Fast Physics-Driven 4D Content Generation from a Single Image](https://arxiv.org/abs/2409.07179) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2409.07179) | - | - | Sep., 2024 |
| [Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation](https://arxiv.org/abs/2408.10453) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2408.10453) | - | - | Aug., 2024 |
| [Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion](https://arxiv.org/abs/2406.04338) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2406.04338) | [![Star](https://img.shields.io/github/stars/liuff19/Physics3D.svg?style=social&label=Star)](https://github.com/liuff19/Physics3D) | [![Website](https://img.shields.io/badge/Website-9cf)](https://liuff19.github.io/Physics3D/) | Jun., 2024 |
| [Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D Generation](https://arxiv.org/abs/2405.16849) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2405.16849) | - | [![Website](https://img.shields.io/badge/Website-9cf)](https://sync4dphys.github.io/) | May., 2024 |
| [ElastoGen: 4D Generative Elastodynamics](https://arxiv.org/abs/2405.15056) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2405.15056) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://anunrulybunny.github.io/elastogen/) |             May, 2024             |
| [MotionCraft: Physics-based Zero-Shot Video Generation](https://arxiv.org/abs/2405.13557) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2405.13557) | [![Star](https://img.shields.io/github/stars/mezzelfo/MotionCraft.svg?style=social&label=Star)](https://github.com/mezzelfo/MotionCraft) | [![Website](https://img.shields.io/badge/Website-9cf)](https://mezzelfo.github.io/MotionCraft/) | Nips, 2024 |
| [PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation](https://arxiv.org/abs/2409.18964) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2409.18964) | [![Star](https://img.shields.io/github/stars/stevenlsw/physgen.svg?style=social&label=Star)](https://github.com/stevenlsw/physgen) | [![Website](https://img.shields.io/badge/Website-9cf)](https://stevenlsw.github.io/physgen/) |            ECCV, 2024             |
| [PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation](https://link.springer.com/chapter/10.1007/978-3-031-72627-9_22) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2404.13026) | [![Star](https://img.shields.io/github/stars/a1600012888/PhysDreamer.svg?style=social&label=Star)](https://github.com/a1600012888/PhysDreamer) | [![Website](https://img.shields.io/badge/Website-9cf)](https://physdreamer.github.io/) |          ECCV, 2024 Oral          |
| [Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video](https://arxiv.org/abs/2404.09833) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2404.09833) | [![Star](https://img.shields.io/github/stars/video2game/video2game.svg?style=social&label=Star)](https://github.com/video2game/video2game) | [![Website](https://img.shields.io/badge/Website-9cf)](https://video2game.github.io/) |            CVPR, 2024             |
| [PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF](https://openaccess.thecvf.com/content/CVPR2024/html/Feng_PIE-NeRF_Physics-based_Interactive_Elastodynamics_with_NeRF_CVPR_2024_paper.html) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2311.13099) | [![Star](https://img.shields.io/github/stars/FYTalon/pienerf.svg?style=social&label=Star)](https://github.com/FYTalon/pienerf) | [![Website](https://img.shields.io/badge/Website-9cf)](https://fytalon.github.io/pienerf/) |            CVPR, 2024             |
| [VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality](https://dl.acm.org/doi/10.1145/3641519.3657448) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2401.16663) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://yingjiang96.github.io/VR-GS/) |          SIGGRAPH, 2024           |
| [PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics ](https://arxiv.org/abs/2311.12198) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2311.12198) | [![Star](https://img.shields.io/github/stars/XPandora/PhysGaussian.svg?style=social&label=Star)](https://github.com/XPandora/PhysGaussian) |      [![Website](https://img.shields.io/badge/Website-9cf)](https://xpandora.github.io/PhysGaussian/)                              |            CVPR, 2024             |
| [Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing](https://link.springer.com/chapter/10.1007/978-3-031-72940-9_21?fromPaywallRec=true) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2404.01223) | [![Star](https://img.shields.io/github/stars/vuer-ai/feature-splatting-inria.svg?style=social&label=Star)](https://github.com/vuer-ai/feature-splatting-inria) |   [![Website](https://img.shields.io/badge/Website-9cf)](https://feature-splatting.github.io/) |            ECCV, 2024             |
| [Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics](https://arxiv.org/abs/2410.08257) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.08257) | [![Star](https://img.shields.io/github/stars/XJay18/NeuMA.svg?style=social&label=Star)](https://github.com/XJay18/NeuMA) | [![Website](https://img.shields.io/badge/Website-9cf)](https://xjay18.github.io/projects/neuma.html) |            NIPS, 2024             |
| [Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis](https://ieeexplore.ieee.org/abstract/document/10550869) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2308.09713) | [![Star](https://img.shields.io/github/stars/JonathonLuiten/Dynamic3DGaussians.svg?style=social&label=Star)](https://github.com/JonathonLuiten/Dynamic3DGaussians) | [![Website](https://img.shields.io/badge/Website-9cf)](https://dynamic3dgaussians.github.io/) |             3DV, 2024             |
| [LLM-grounded Video Diffusion Models](https://openreview.net/forum?id=exKHibougU) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2309.17444) | [![Star](https://img.shields.io/github/stars/TonyLianLong/LLM-groundedVideoDiffusion.svg?style=social&label=Star)](https://github.com/TonyLianLong/LLM-groundedVideoDiffusion) | [![Website](https://img.shields.io/badge/Website-9cf)](https://llm-grounded-video-diffusion.github.io/) |            ICLR, 2024             |
| [Compositional 3D-aware Video Generation with LLM Director](https://openreview.net/forum?id=oqdy2EFrja&referrer=%5Bthe%20profile%20of%20Zhibo%20Chen%5D(%2Fprofile%3Fid%3D~Zhibo_Chen1)) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2409.00558) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://www.microsoft.com/en-us/research/project/compositional-3d-aware-video-generation/) |            NIPS, 2024             |
| [GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning](https://openaccess.thecvf.com/content/CVPR2024W/PBDL/html/Lv_GPT4Motion_Scripting_Physical_Motions_in_Text-to-Video_Generation_via_Blender-Oriented_GPT_CVPRW_2024_paper.html) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2311.12631) | [![Star](https://img.shields.io/github/stars/jiaxilv/GPT4Motion.svg?style=social&label=Star)](https://github.com/jiaxilv/GPT4Motion) | [![Website](https://img.shields.io/badge/Website-9cf)](https://gpt4motion.github.io/) |       CVPR, 2024, workshop        |
| [DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation](https://arxiv.org/abs/2312.00583) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2312.00583) | [![Star](https://img.shields.io/github/stars/momentum-robotics-lab/deformgs.svg?style=social&label=Star)](https://github.com/momentum-robotics-lab/deformgs) | [![Website](https://img.shields.io/badge/Website-9cf)](https://deformgs.github.io/) |             WAFR 2024             |
| [Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics](https://proceedings.mlr.press/v202/ma23a.html) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2304.14369) | [![Star](https://img.shields.io/github/stars/PingchuanMa/NCLaw.svg?style=social&label=Star)](https://github.com/PingchuanMa/NCLaw) | [![Website](https://img.shields.io/badge/Website-9cf)](https://sites.google.com/view/nclaw) |            ICML, 2023             |
| [Pac-nerf: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification](https://openreview.net/forum?id=tVkrbkz42vc) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2303.05512) | [![Star](https://img.shields.io/github/stars/xuan-li/PAC-NeRF.svg?style=social&label=Star)](https://github.com/xuan-li/PAC-NeRF) | [![Website](https://img.shields.io/badge/Website-9cf)](https://sites.google.com/view/PAC-NeRF) |       ICLR, 2023, Spotlight       |

### Active Cognition for World Simulation
|                            Title                             |                            arXiv                             |                            Github                            |                           WebSite                            |             Pub. & Date             |
| :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :---------------------------------: |
|[PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation](https://arxiv.org/pdf/2512.24551v3)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/pdf/2512.24551v3)|-|-|ECCV, 2026|
|[Toward Physically Consistent Driving Video World Models under Challenging Trajectories](https://arxiv.org/abs/2603.24506)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.24506)|[![Star](https://img.shields.io/github/stars/wm-research/PhyGenesis.svg?style=social&label=Star)](https://github.com/wm-research/PhyGenesis)|[![Website](https://img.shields.io/badge/Website-9cf)](https://wm-research.github.io/PhyGenesis/)|Mar., 2026|
|[PhyPrompt: RL-based Prompt Refinement for Physically Plausible Text-to-Video Generation](https://arxiv.org/abs/2603.03505)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.03505)|-|-|Mar., 2026|
|ABot-PhysWorld|-|[![Star](https://img.shields.io/github/stars/amap-cvlab/ABot-PhysWorld.svg?style=social&label=Star)](https://github.com/amap-cvlab/ABot-PhysWorld?tab=readme-ov-file)|-|Mar., 2026|
|[Can vision language models learn intuitive physics from interaction?](https://arxiv.org/abs/2602.06033)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2602.06033)|-|-|Feb., 2026|
|[Inference-time Physics Alignment of Video Generative Models with Latent World Models](https://arxiv.org/abs/2601.10553)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.10553)|-|-|PhysicsIQ Challenge, ICCV 2025|
|[PhysRVG: Physics-Aware Unified Reinforcement Learning for Video Generative Models](https://www.arxiv.org/abs/2601.11087)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2601.11087)|-|-|Jan., 2026|
|[Improving the Physics of Video Generation with VJEPA-2 Reward Signal](https://arxiv.org/abs/2510.21840)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2510.21840)|-|-|PhysicsIQ Challenge, ICCV 2025|
|[What about gravity in video generation? Post-Training Newton’s Laws with Verifiable Rewards](https://arxiv.org/pdf/2512.00425)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/pdf/2512.00425)|[![Star](https://img.shields.io/github/stars/cvlab-stonybrook/NewtonRewards.svg?style=social&label=Star)](https://github.com/cvlab-stonybrook/NewtonRewards)|[![Website](https://img.shields.io/badge/Website-9cf)](https://cvlab-stonybrook.github.io/NewtonRewards/)|Nov., 2025|
|[PhysCorr: Dual-Reward DPO for Physics-Constrained Text-to-Video Generation with Automated Preference Selection](https://arxiv.org/abs/2511.03997)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2511.03997)|-|-|NoV,. 2025|
|[World Simulation with Video Foundation Models for Physical AI](https://arxiv.org/abs/2511.00062)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2511.00062)|[![Star](https://img.shields.io/github/stars/nvidia-cosmos/cosmos-predict2.5.svg?style=social&label=Star)](https://github.com/nvidia-cosmos/cosmos-predict2.5)|[![Website](https://img.shields.io/badge/Website-9cf)](https://research.nvidia.com/labs/dir/cosmos-transfer2.5/)|Oct., 2025|
|[PhysMaster: Mastering Physical Representation for Video Generation via Reinforcement Learning](https://openreview.net/forum?id=CG2VPDZkwM)|-|-|-|Oct., 2025|
|[PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis](https://openreview.net/forum?id=dggfgPzGFW)|-|-|-|Oct., 2025|
|[Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility](https://www.arxiv.org/abs/2509.24702)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2509.24702)|-|-|Sep., 2025|
|[Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation](https://arxiv.org/abs/2508.10858)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2508.10858)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://haroldchen19.github.io/PhysHPO-Page/)|Aug., 2025|
|[Genie 3: A new frontier for world models](https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/)|-|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/)|Aug., 2025|
|[Matrix-Game: Interactive World Foundation Model](https://arxiv.org/abs/2506.18701)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.18701)|[![Star](https://img.shields.io/github/stars/SkyworkAI/Matrix-Game.svg?style=social&label=Star)](https://github.com/SkyworkAI/Matrix-Game)|[![Website](https://img.shields.io/badge/Website-9cf)](https://matrix-game-homepage.github.io/)|Jun., 2025|
|[RoboScape: Physics-informed Embodied World Model](https://arxiv.org/abs/2506.23135)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.23135)|[![Star](https://img.shields.io/github/stars/tsinghua-fib-lab/RoboScape.svg?style=social&label=Star)](https://github.com/tsinghua-fib-lab/RoboScape)|-|Jun., 2025|
|[RDPO: Real Data Preference Optimization for Physics Consistency Video Generation](https://arxiv.org/abs/2506.18655)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.18655)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://wwenxu.github.io/RDPO/)|Jun., 2025|
|[DeepVerse: 4D Autoregressive Video Generation as a World Model](https://arxiv.org/abs/2506.01103)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.01103)|[![Star](https://img.shields.io/github/stars/SOTAMak1r/DeepVerse.svg?style=social&label=Star)](https://github.com/SOTAMak1r/DeepVerse)|[![Website](https://img.shields.io/badge/Website-9cf)](https://sotamak1r.github.io/deepverse/)|Jun., 2025|
|[VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models](https://arxiv.org/abs/2505.23656)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.23656)|[![Star](https://img.shields.io/github/stars/aHapBean/VideoREPA.svg?style=social&label=Star)](https://github.com/aHapBean/VideoREPA)|[![Website](https://img.shields.io/badge/Website-9cf)](https://videorepa.github.io/)|May, 2025|
|[Learning World Models for Interactive Video Generation](https://arxiv.org/html/2505.21996v1)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/html/2505.21996v1)|-|-|May, 2025|
|[EnerVerse-AC: Envisioning Embodied Environments with Action Condition](https://arxiv.org/abs/2505.09723)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.09723)|[![Star](https://img.shields.io/github/stars/AgibotTech/EnerVerse-AC.svg?style=social&label=Star)](https://github.com/AgibotTech/EnerVerse-AC)|[![Website](https://img.shields.io/badge/Website-9cf)](https://annaj2178.github.io/EnerverseAC.github.io/)|May, 2025|
|[MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World](https://arxiv.org/abs/2504.15397)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.15397)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://mirror-verse.github.io/)|CVPR, 2025|
|[Science-T2I: Addressing Scientific Illusions in Image Synthesis](https://arxiv.org/abs/2504.13129)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.13129)|[![Star](https://img.shields.io/github/stars/Jialuo-Li/Science-T2I.svg?style=social&label=Star)](https://github.com/Jialuo-Li/Science-T2I)|[![Website](https://img.shields.io/badge/Website-9cf)](https://jialuo-li.github.io/Science-T2I-Web/)|CVPR, 2025|
|[Aether: Geometric-Aware Unified World Modeling](https://arxiv.org/abs/2503.18945)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.18945)| [![Star](https://img.shields.io/github/stars/OpenRobotLab/Aether.svg?style=social&label=Star)](https://github.com/OpenRobotLab/Aether)|[![Website](https://img.shields.io/badge/Website-9cf)](https://aether-world.github.io/)|Mar., 2025|
|[AdaWorld: Learning Adaptable World Models with Latent Actions](https://arxiv.org/abs/2503.18938)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.18938)|[![Star](https://img.shields.io/github/stars/Little-Podi/AdaWorld.svg?style=social&label=Star)](https://github.com/Little-Podi/AdaWorld)| [![Website](https://img.shields.io/badge/Website-9cf)](https://adaptable-world-model.github.io/)|Mar., 2025|
| [Pisa experiments: Exploring physics post-training for video diffusion models by watching stuff drop](https://arxiv.org/abs/2503.09595) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.09595) | [![Star](https://img.shields.io/github/stars/vision-x-nyu/pisa-experiments.svg?style=social&label=Star)](https://github.com/vision-x-nyu/pisa-experiments) |                        [![Website](https://img.shields.io/badge/Website-9cf)](https://vision-x-nyu.github.io/pisa-experiments.github.io/)                 |             Mar., 2025              |
| [Wisa: World simulator assistant for physics-aware text-to-video generation](https://arxiv.org/abs/2503.08153) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.08153) | [![Star](https://img.shields.io/github/stars/360CVGroup/WISA.svg?style=social&label=Star)](https://github.com/360CVGroup/WISA) | [![Website](https://img.shields.io/badge/Website-9cf)](https://360cvgroup.github.io/WISA/) |             Mar., 2025              |
| [Ipo: Iterative preference optimization for text-to-video generation](https://arxiv.org/abs/2502.02088) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2502.02088) | [![Star](https://img.shields.io/github/stars/SAIS-FUXI/IPO.svg?style=social&label=Star)](https://github.com/SAIS-FUXI/IPO) |                              -                               |              Feb, 2025              |
| [Do generative video models learn physical principles from watching videos?](https://arxiv.org/abs/2501.09038) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2501.09038) | [![Star](https://img.shields.io/github/stars/google-deepmind/physics-IQ-benchmark.svg?style=social&label=Star)](https://github.com/google-deepmind/physics-IQ-benchmark) | [![Website](https://img.shields.io/badge/Website-9cf)](https://physics-iq.github.io/) |             Jan., 2025              |
| [Cosmos world foundation model platform for physical ai](https://arxiv.org/abs/2501.03575) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2501.03575) | [![Star](https://img.shields.io/github/stars/nvidia-cosmos/cosmos-predict1.svg?style=social&label=Star)](https://github.com/nvidia-cosmos/cosmos-predict1) |     [ ![Website](https://img.shields.io/badge/Website-9cf) ](https://www.nvidia.com/en-us/ai/cosmos/)    |             Jan., 2025              |
| [Improving video generation with human feedback](https://arxiv.org/abs/2501.13918) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2501.13918) | [![Star](https://img.shields.io/github/stars/KwaiVGI/VideoAlign.svg?style=social&label=Star)](https://github.com/KwaiVGI/VideoAlign) | [![Website](https://img.shields.io/badge/Website-9cf)](https://gongyeliu.github.io/videoalign/) |             Jan., 2025              |
| [Phyt2v: Llm-guided iterative self-refinement for physics-grounded text-to-video generation](https://arxiv.org/abs/2412.00596) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.00596) | [![Star](https://img.shields.io/github/stars/pittisl/PhyT2V.svg?style=social&label=Star)](https://github.com/pittisl/PhyT2V) |                              -                               |             CVPR, 2025              |
| [Dream to manipulate: Compositional world models empowering robot imitation learning with imagination](https://arxiv.org/abs/2412.14957) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.14957) | [![Star](https://img.shields.io/github/stars/leobarcellona/drema_code.svg?style=social&label=Star)](https://github.com/leobarcellona/drema_code) | [![Website](https://img.shields.io/badge/Website-9cf)](https://dreamtomanipulate.github.io/) |             ICLR, 2025              |
| [MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators](https://arxiv.org/abs/2404.05014) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2404.05014) | [![Star](https://img.shields.io/github/stars/PKU-YuanGroup/MagicTime.svg?style=social&label=Star)](https://github.com/PKU-YuanGroup/MagicTime) |                        [![Website](https://img.shields.io/badge/Website-9cf)](https://pku-yuangroup.github.io/MagicTime/)                 |             TPAMI, 2025              |
| [ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation](https://arxiv.org/abs/2403.08321) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2403.08321) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://guanxinglu.github.io/ManiGaussian/) |             ECCV, 2025              |
| [Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback](https://arxiv.org/abs/2412.02617) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.02617) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://sites.google.com/view/aif-dynamic-t2v/) |             Dec., 2024              |
| [Physical informed driving world model](https://arxiv.org/abs/2412.08410) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.08410) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://metadrivescape.github.io/papers_project/DrivePhysica/page.html) |             Dec., 2024              |
| [How far is video generation from world model: A physical law perspective](https://arxiv.org/abs/2411.02385) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.02385) | [![Star](https://img.shields.io/github/stars/phyworld/phyworld.svg?style=social&label=Star)](https://github.com/phyworld/phyworld) | [![Website](https://img.shields.io/badge/Website-9cf)](https://phyworld.github.io/) |             Nov., 2024              |
| [Video generation models as world simulators](https://arxiv.org/abs/2410.18072) |                              -                               |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://openai.com/index/video-generation-models-as-world-simulators/) |             Oct., 2024              |
| [Videoagent: Self-improving video generation](https://arxiv.org/abs/2410.10076) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.10076) | [![Star](https://img.shields.io/github/stars/Video-as-Agent/VideoAgent.svg?style=social&label=Star)](https://github.com/Video-as-Agent/VideoAgent) | [![Website](https://img.shields.io/badge/Website-9cf)](https://video-as-agent.github.io/) |             Oct., 2024              |
| [Gen-drive: Enhancing diffusion generative driving policies with reward modeling and reinforcement learning fine-tuning](https://arxiv.org/abs/2410.05582) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.05582) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://mczhi.github.io/GenDrive/) |              Oct, 2024              |
| [Drivedreamer4d: World models are effective data machines for 4d driving scene representation](https://arxiv.org/abs/2410.13571) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.13571) | [![Star](https://img.shields.io/github/stars/GigaAI-research/DriveDreamer4D.svg?style=social&label=Star)](https://github.com/GigaAI-research/DriveDreamer4D) | [![Website](https://img.shields.io/badge/Website-9cf)](https://drivedreamer4d.github.io/) |              Oct, 2024              |
| [Open-sora: Democratizing efficient video production for all](https://arxiv.org/abs/2412.20404) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.20404) | [![Star](https://img.shields.io/github/stars/hpcaitech/Open-Sora.svg?style=social&label=Star)](https://github.com/hpcaitech/Open-Sora) | [![Website](https://img.shields.io/badge/Website-9cf)](https://hpcaitech.github.io/Open-Sora/) |             Dec., 2024              |
|         [Imagen 3](https://arxiv.org/abs/2408.07009)         | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2408.07009) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://deepmind.google/technologies/imagen-3/) |             Aug., 2024              |
|      [Genie 2: A large-scale foundation world model]()       |                              -                               |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://deepmind.google/discover/blog/genie-2-a-large-scale-foundation-world-model/) |                2024                 |
| [Genie: ¨ Generative interactive environments](https://arxiv.org/abs/2402.15391) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2402.15391) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://sites.google.com/view/genie-2024/?pli=1) |             Feb., 2024              |
| [Worlddreamer: Towards general world models for video generation via predicting masked tokens](https://arxiv.org/abs/2401.09985) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2401.09985) | [![Star](https://img.shields.io/github/stars/JeffWang987/WorldDreamer.svg?style=social&label=Star)](https://github.com/JeffWang987/WorldDreamer) | [![Website](https://img.shields.io/badge/Website-9cf)](https://world-dreamer.github.io/) |             Jan., 2024              |
| [Learning interactive real-world simulators](https://arxiv.org/abs/2310.06114) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2310.06114) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://universal-simulator.github.io/unisim/) | ICLR, 2024, Outstanding Paper Award |
| [Physically embodied gaussian splatting: A visually learnt and physically grounded 3d representation for robotics](https://openreview.net/forum?id=AEq0onGrN2&noteId=AEq0onGrN2) |                              -                               |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://embodied-gaussians.github.io/) |             CoRL, 2024              |
| [Gaia-1: A generative world model for autonomous driving](https://arxiv.org/abs/2309.17080) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2309.17080) |                              -                               |                             [![Website](https://img.shields.io/badge/Website-9cf)](https://wayve.ai/thinking/introducing-gaia1/)                           |             Sep., 2023              |

### Datasets, Benchmarks and Metrics

|                            Title                             |                            arXiv                             |                            Github                            |                           Website                            | Pub. & Date |
| :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :---------: |
|[PhysInOne: Visual Physics Learning and Reasoning in One Suite](https://arxiv.org/abs/2604.09415)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2604.09415)|[![Star](https://img.shields.io/github/stars/vLAR-group/PhysInOne.svg?style=social&label=Star)](https://github.com/vLAR-group/PhysInOne)|[![Website](https://img.shields.io/badge/Website-9cf)](http://vlar-group.github.io/PhysInOne.html)|CVPR, 2026|
|[Physion-Eval: Evaluating Physical Realism in Generated Video via Human Reasoning](https://arxiv.org/abs/2603.19607)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.19607)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://huggingface.co/datasets/PhysionLabs/Physion-Eval)|Mar., 2026|
|[VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction](https://arxiv.org/abs/2602.13294)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2602.13294)|[![Star](https://img.shields.io/github/stars/TIGER-AI-Lab/VisPhyWorld.svg?style=social&label=Star)](https://github.com/TIGER-AI-Lab/VisPhyWorld)|[![Website](https://img.shields.io/badge/Website-9cf)](https://tiger-ai-lab.github.io/VisPhyWorld/)|Feb., 2026|
|[Beyond Rigid: Benchmarking Non-Rigid Video Editing](https://arxiv.org/abs/2601.18340)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.18340)|-|-|Jan., 2026|
|[Rethinking Video Generation Model for the Embodied World](https://arxiv.org/abs/2601.15282)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.15282)|[![Star](https://img.shields.io/github/stars/DAGroup-PKU/ReVidgen/.svg?style=social&label=Star)](https://github.com/DAGroup-PKU/ReVidgen/)|[![Website](https://img.shields.io/badge/Website-9cf)](https://dagroup-pku.github.io/ReVidgen.github.io/)|Jan., 2026|
|[FysicsWorld: A Unified Full-Modality Benchmark for Any-to-Any Understanding, Generation, and Reasoning](https://arxiv.org/pdf/2512.12756)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/pdf/2512.12756)||[![Star](https://img.shields.io/github/stars/Fysics-AI/FysicsWorld.svg?style=social&label=Star)](https://github.com/Fysics-AI/FysicsWorld)|-|Dec., 2025|
|[MoReGen: Multi-Agent Motion-Reasoning Engine for Code-based Text-to-Video Synthesis](https://arxiv.org/abs/2512.04221)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2512.04221)|[![Star](https://img.shields.io/github/stars/ostadabbas/MoReGen-Multi-Agent-Motion-Reasoning-Engine.svg?style=social&label=Star)](https://github.com/ostadabbas/MoReGen-Multi-Agent-Motion-Reasoning-Engine)|-|Dec., 2025|
|[What about gravity in video generation? Post-Training Newton’s Laws with Verifiable Rewards](https://arxiv.org/pdf/2512.00425)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/pdf/2512.00425)|[![Star](https://img.shields.io/github/stars/cvlab-stonybrook/NewtonRewards.svg?style=social&label=Star)](https://github.com/cvlab-stonybrook/NewtonRewards)|[![Website](https://img.shields.io/badge/Website-9cf)](https://cvlab-stonybrook.github.io/NewtonRewards/)|Nov., 2025|
|[LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference](https://arxiv.org/abs/2510.11512)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2510.11512)|[![Star](https://img.shields.io/github/stars/YuanJianhao508/LikePhys.svg?style=social&label=Star)](https://github.com/YuanJianhao508/LikePhys)|-|Oct., 2025|
|[CoPhyBench: Benchmarking Physical Reasoning from Conditional Video Observation](https://openreview.net/forum?id=rDiKG1xlDV)|-|-|-|Oct., 2025|
|[Cosmos-Eval: Towards Explainable Evaluation of Physics and Semantics in Text-to-Video Models](https://openreview.net/forum?id=KdYKSOY9MP)|-|-|-|Oct., 2025|
|[VideoVerse: How Far is Your T2V Generator from a World Model?](https://www.arxiv.org/abs/2510.08398)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2510.08398)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://www.naptmn.cn/Homepage_of_VideoVerse/)|Oct., 2025|
|[TRAVL: A Recipe for Making Video-Language Models Better Judges of Physics Implausibility](http://arxiv.org/abs/2510.07550)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](http://arxiv.org/abs/2510.07550)|[![Star](https://img.shields.io/github/stars/insait-institute/TRAVL.svg?style=social&label=Star)](https://github.com/insait-institute/TRAVL)|[![Website](https://img.shields.io/badge/Website-9cf)](https://sam-motamed.github.io/projects/TRAVL)|Oct., 2025|
|[Does Physics Knowledge Emerge in Frontier Models?](https://www.arxiv.org/abs/2510.06251)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2510.06251)|-|-|Oct., 2025|
|[VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness](https://arxiv.org/abs/2503.21755)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.21755)|[![Star](https://img.shields.io/github/stars/Vchitect/VBench.svg?style=social&label=Star)](https://github.com/Vchitect/VBench)|[![Website](https://img.shields.io/badge/Website-9cf)](https://vchitect.github.io/VBench-2.0-project/)|Aug., 2025|
|[Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Model](https://arxiv.org/abs/2507.15824)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2507.15824)|[![Star](https://img.shields.io/github/stars/ensanli/PhysVidBenchCode.svg?style=social&label=Star)](https://github.com/ensanli/PhysVidBenchCode)|[![Website](https://img.shields.io/badge/Website-9cf)](https://cyberiada.github.io/PhysVidBench/)|Jul., 2025|
|[PhyWorldBench: A Comprehensive Evaluation of Physical Realism in Text-to-Video Models](https://arxiv.org/abs/2507.13428)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2507.13428)|-|-|Jul., 2025|
|[Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation](https://www.arxiv.org/abs/2506.17198)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2506.17198)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://jianglongye.com/dex1b/)|Jun., RSS, 2025|
|[GenWorld: Towards Detecting AI-generated Real-world Simulation Videos](https://arxiv.org/abs/2506.10975)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.10975)|[![Star](https://img.shields.io/github/stars/chen-wl20/GenWorld.svg?style=social&label=Star)](https://github.com/chen-wl20/GenWorld)|[![Website](https://img.shields.io/badge/Website-9cf)](https://chen-wl20.github.io/GenWorld/)|Jun., 2025|
|[IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments](https://arxiv.org/abs/2506.09849)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.09849)|[![Star](https://img.shields.io/github/stars/facebookresearch/IntPhys2.svg?style=social&label=Star)](https://github.com/facebookresearch/IntPhys2)|[![Website](https://img.shields.io/badge/Website-9cf)](https://ai.meta.com/blog/v-jepa-2-world-model-benchmarks/)|Jun., 2025|
|[Think Before You Diffuse: LLMs-Guided Physics-Aware Video Generation](https://arxiv.org/abs/2505.21653)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.21653)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://bwgzk-keke.github.io/DiffPhy/)|May, 2025|
|[PhysGaia: A Physics-Aware Dataset of Multi-Body Interactions for Dynamic Novel View Synthesis](https://arxiv.org/abs/2506.02794)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.02794)|[![Star](https://img.shields.io/github/stars/mjmjeong/PhysGaia.svg?style=social&label=Star)](https://github.com/mjmjeong/PhysGaia)|[![Website](https://img.shields.io/badge/Website-9cf)](https://cvlab.snu.ac.kr/research/PhysGaia/)|Jun., 2025|
|[Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT](https://arxiv.org/abs/2505.24182)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.24182)|[![Star](https://img.shields.io/github/stars/CSU-JPG/MVPBench.svg?style=social&label=Star)](https://github.com/CSU-JPG/MVPBench)|[![Website](https://img.shields.io/badge/Website-9cf)](https://csu-jpg.github.io/MVPBench/)|May, 2025|
|[Universal Visuo-Tactile Video Understanding for Embodied Interaction](https://arxiv.org/abs/2505.22566)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.22566)|-|-|May, 2025|
|[T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation](https://arxiv.org/abs/2505.00337)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.00337)|-|-|May, 2025|
|[Direct Motion Models for Assessing Generated Videos](https://arxiv.org/abs/2505.00209)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.00209)|[![Star](https://img.shields.io/github/stars/google-deepmind/tapnet.svg?style=social&label=Star)](https://github.com/google-deepmind/tapnet)|[![Website](https://img.shields.io/badge/Website-9cf)](https://trajan-paper.github.io/)|Apr., 2025|
|[Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments](https://arxiv.org/abs/2504.02918)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.02918)|-|-|Apr., 2025|
|[A Unified Evaluation Benchmark for World Generation](https://arxiv.org/abs/2504.00983)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2504.00983)| [![Star](https://img.shields.io/github/stars/haoyi-duan/WorldScore.svg?style=social&label=Star)](https://github.com/haoyi-duan/WorldScore)| [![Website](https://img.shields.io/badge/Website-9cf)](https://haoyi-duan.github.io/WorldScore/)|Apr., 2025|
|[HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation](https://arxiv.org/abs/2503.23715)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.23715)|-| [![Website](https://img.shields.io/badge/Website-9cf)](https://liuqi-creat.github.io/HOIGen.github.io/)|Mar., 2025; CVPR, 2025|
|[Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI](https://arxiv.org/abs/2503.21668)| [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.21668)|-|-|Mar., 2025|
| [Pisa:experiments: Exploring physics post-training for video diffusion models by watching stuff drop](https://arxiv.org/abs/2503.09595) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.09595) | [![Star](https://img.shields.io/github/stars/vision-x-nyu/pisa-experiments.svg?style=social&label=Star)](https://github.com/vision-x-nyu/pisa-experiments) |                              -                               | Mar., 2025  |
|[Impossible Videos](https://arxiv.org/abs/2503.14378)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.14378)|[![Star](https://img.shields.io/github/stars/showlab/Impossible-Videos.svg?style=social&label=Star)](https://github.com/showlab/Impossible-Videos)|[![Website](https://img.shields.io/badge/Website-9cf)](https://showlab.github.io/Impossible-Videos/)|Mar., 2025  |
| [Wisa: World simulator assistant for physics-aware text-to-video generation](https://arxiv.org/abs/2503.08153) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.08153) | [![Star](https://img.shields.io/github/stars/360CVGroup/WISA.svg?style=social&label=Star)](https://github.com/360CVGroup/WISA) | [![Website](https://img.shields.io/badge/Website-9cf)](https://360cvgroup.github.io/WISA/) | Mar., 2025  |
|[VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation](https://arxiv.org/abs/2503.06800)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2503.06800)|[![Star](https://img.shields.io/github/stars/Hritikbansal/videophy.svg?style=social&label=Star)](https://github.com/Hritikbansal/videophy)|[![Website](https://img.shields.io/badge/Website-9cf)](https://videophy2.github.io/)|Mar., 2025  |
| [A physical coherence benchmark for evaluating video generation models via optical flow-guided frame prediction](https://www.arxiv.org/abs/2502.05503) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2502.05503) | [![Star](https://img.shields.io/github/stars/Jeckinchen/PhyCoBench.svg?style=social&label=Star)](https://github.com/Jeckinchen/PhyCoBench) |                              -                               | Feb., 2025  |
| [Do generative video models learn physical principles from watching videos?](https://arxiv.org/abs/2501.09038) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2501.09038) | [![Star](https://img.shields.io/github/stars/google-deepmind/physics-IQ-benchmark.svg?style=social&label=Star)](https://github.com/google-deepmind/physics-IQ-benchmark) | [![Website](https://img.shields.io/badge/Website-9cf)](https://physics-iq.github.io/) | Jan., 2025  |
|[ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation](https://arxiv.org/abs/2406.18522)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2406.18522)|[![Star](https://img.shields.io/github/stars/PKU-YuanGroup/ChronoMagic-Bench.svg?style=social&label=Star)](https://github.com/PKU-YuanGroup/ChronoMagic-Bench)|[![Website](https://img.shields.io/badge/Website-9cf)](https://pku-yuangroup.github.io/ChronoMagic-Bench/)|NeurIPS, 2024, Spotlight  |
|[PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos](https://arxiv.org/abs/2412.01800)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2412.01800)| [![Star](https://img.shields.io/github/stars/PhysGame/PhysGame.svg?style=social&label=Star)](https://github.com/PhysGame/PhysGame)|[![Website](https://img.shields.io/badge/Website-9cf)](https://physgame.github.io/)|Dec., 2024|
| [Llmphy: Complex physical reasoning using large language models and world models](https://arxiv.org/abs/2411.08027) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.08027) |                              -                               |                              -                               | Nov., 2024  |
|[What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality](https://arxiv.org/abs/2411.13609)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2411.13609)|-|-| Nov., 2024  |
| [Towards world simulator: Crafting physical commonsense-based benchmark for video generation](https://arxiv.org/abs/2410.05363) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.05363) | [![Star](https://img.shields.io/github/stars/OpenGVLab/PhyGenBench.svg?style=social&label=Star)](https://github.com/OpenGVLab/PhyGenBench) | [![Website](https://img.shields.io/badge/Website-9cf)](https://phygenbench123.github.io/) | Oct., 2024  |
|[WorldSimBench: Towards Video Generation Models as World Simulators](https://arxiv.org/abs/2410.18072)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2410.18072)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://iranqin.github.io/WorldSimBench.github.io/)|Oct., 2024  |
| [Phybench: A physical commonsense benchmark for evaluating text-to-image model](https://arxiv.org/abs/2406.11802) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2406.11802) |                              -                               |                              -                               | Jun., 2024  |
| [Videophy: Evaluating physical commonsense for video generation](https://arxiv.org/abs/2406.03520) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2406.03520) | [![Star](https://img.shields.io/github/stars/Hritikbansal/videophy.svg?style=social&label=Star)](https://github.com/Hritikbansal/videophy) | [![Website](https://img.shields.io/badge/Website-9cf)](https://videophy.github.io/) | Jun., 2024  |
| [Videocon: Robust video-language alignment via contrast captions](https://arxiv.org/abs/2311.10111) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2311.10111) | [![Star](https://img.shields.io/github/stars/Hritikbansal/videocon.svg?style=social&label=Star)](https://github.com/Hritikbansal/videocon) | [![Website](https://img.shields.io/badge/Website-9cf)](https://video-con.github.io/) | CVPR, 2024  |
| [Physion++: Evaluating physical scene understanding that requires online inference of different physical properties](https://arxiv.org/abs/2306.15668) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://raw.githubusercontent.com/minnie-lin/Awesome-Physics-Cognition-based-Video-Generation/main/[![arXiv](https:/img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2106.08261)) |                              -                               | [![Website](https://img.shields.io/badge/Website-9cf)](https://dingmyu.github.io/physion_v2/) | Nips, 2023  |
| [Craft: A benchmark for causal reasoning about forces and interactions](https://arxiv.org/abs/2012.04293) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2012.04293) | [![Star](https://img.shields.io/github/stars/hucvl/craft.svg?style=social&label=Star)](https://github.com/hucvl/craft) | [![Website](https://img.shields.io/badge/Website-9cf)](https://sites.google.com/view/craft-benchmark) |  ACL, 2022  |
| [Physion: Evaluating physical prediction from vision in humans and machines](https://arxiv.org/abs/2106.08261) | [![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2106.08261) | [![Star](https://img.shields.io/github/stars/cogtoolslab/physics-benchmarking-neurips2021.svg?style=social&label=Star)](https://github.com/cogtoolslab/physics-benchmarking-neurips2021) | [![Website](https://img.shields.io/badge/Website-9cf)](https://physion-benchmark.github.io/) | Nips, 2021  |

### Physical Understanding
#### VLMs, LLMs, MLLMs on Physical Understanding
|                            Title                             |                            arXiv                             |                            Github                            |                           Website                            | Pub. & Date |
| :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :---------: |
|[Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models](https://arxiv.org/abs/2601.19834)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2601.19834)|[![Star](https://img.shields.io/github/stars/thuml/Reasoning-Visual-World.svg?style=social&label=Star)](https://github.com/thuml/Reasoning-Visual-World)|[![Website](https://img.shields.io/badge/Website-9cf)](https://thuml.github.io/Reasoning-Visual-World/)|Jan., 2026|
|[Can vision language models learn intuitive physics from interaction?](https://openreview.net/forum?id=XdLgOm5giq)|-|-|-|Oct., 2025|
|[Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models](https://openreview.net/forum?id=Ax02eR2c3d)|-|-|-|Oct., 2025|
|[Does Physics Knowledge Emerge in Frontier Models?](https://www.arxiv.org/abs/2510.06251)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2510.06251)|-|-|Oct., 2025|
|[Inferring Dynamic Physical Properties from Video Foundation Models](https://arxiv.org/abs/2510.02311)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2510.02311)|-|-|Oct., 2025|
|[SlotPi: Physics-informed Object-centric Reasoning Models](https://arxiv.org/abs/2506.10778)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.10778)|-|-|Jun., 2025|
|[PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly](https://arxiv.org/abs/2506.08708)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.08708)|[![Star](https://img.shields.io/github/stars/PhyBlock/PhyBlock.svg?style=social&label=Star)](https://github.com/PhyBlock/PhyBlock)|[![Website](https://img.shields.io/badge/Website-9cf)](https://phyblock.github.io/)|Jun., 2025|

#### Benchmarks
|                            Title                             |                            arXiv                             |                            Github                            |                           Website                            | Pub. & Date |
| :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :---------: |
|[How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning](https://arxiv.org/abs/2603.24866)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2603.24866)|-|[![Website](https://img.shields.io/badge/Website-9cf)](https://luluyuyuyang.github.io/dreamhouse/)|Mar., 2026|
|[A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs](https://www.arxiv.org/abs/2506.09987)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://www.arxiv.org/abs/2506.09987)|-|-|Jun., 2025|
|[Scaling Physical Reasoning with the PHYSICS Dataset](https://arxiv.org/abs/2506.00022)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.00022)|-|-|May., 2025|
|[CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models](https://arxiv.org/abs/2506.09943)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2506.09943)|[![Star](https://img.shields.io/github/stars/facebookresearch/CausalVQA.svg?style=social&label=Star)](https://github.com/facebookresearch/CausalVQA)|[![Website](https://img.shields.io/badge/Website-9cf)](https://ai.meta.com/blog/v-jepa-2-world-model-benchmarks/)|Jun., 2025|
|[Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT](https://arxiv.org/abs/2505.24182)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.24182)|[![Star](https://img.shields.io/github/stars/CSU-JPG/MVPBench.svg?style=social&label=Star)](https://github.com/CSU-JPG/MVPBench)|[![Website](https://img.shields.io/badge/Website-9cf)](https://csu-jpg.github.io/MVPBench/)|May, 2025|
|[PhyX: Does Your Model Have the "Wits" for Physical Reasoning?](https://arxiv.org/abs/2505.15929v2)|[![arXiv](https://img.shields.io/badge/arXiv-b31b1b.svg)](https://arxiv.org/abs/2505.15929v2)|[![Star](https://img.shields.io/github/stars/NastyMarcus/PhyX.svg?style=social&label=Star)](https://github.com/NastyMarcus/PhyX)|[![Website](https://img.shields.io/badge/Website-9cf)](https://phyx-bench.github.io/)|May, 2025|
|[Bridging the Reality Gap: A Benchmark for Physical Reasoning in General World Models with Various Physical Phenomena beyond Mechanics](https://openreview.net/pdf?id=vsYt8UHGzI)|-|-|-|Nov., 2024|

## ♥️ Star History

## 📑 Citation

Please consider citing 📑 our papers if our repository is helpful to your work, thanks sincerely!
```
@misc{lin2025exploringevolutionphysicscognition,
      title={Exploring the Evolution of Physics Cognition in Video Generation: A Survey}, 
      author={Minghui Lin and Xiang Wang and Yishan Wang and Shu Wang and Fengqi Dai and Pengxiang Ding and Cunxiang Wang and Zhengrong Zuo and Nong Sang and Siteng Huang and Donglin Wang},
      year={2025},
      eprint={2503.21765},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.21765}, 
}
```

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