Awesome-Agentic-Gen

KO | EN

gitlite — search

#javascript #python #ai #machine-learning #deep-learning #macos #nodejs #awesome #cli #vue #mcp #openai #ios #open-source

Awesome-Agentic-Gen

(★ 41)

No description available.

Awesome-Agentic-Gen Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Awesome Agentic Gen

🔥 A curated and continuously updated collection of research papers on **Agentic Generation**.

Recent advances in multimodal foundation models are pushing generative systems beyond one-shot synthesis toward **agentic creation** — systems that can **reason, plan, search, use tools, generate, evaluate, refine, and self-improve** through iterative interaction with generative models and environments.

This repository aims to track research at the intersection of **AI Agents** and **Multimodal Generation**, covering both autonomous agents and agentic workflows for creating and editing visual content.

## 📚 Scope

We broadly include research on:

* 🖼️ **Agentic Image Generation & Editing**
* 🎬 **Agentic Video Generation & Editing**
* 🌍 **3D / World / CAD Generation Agents**
* 🔍 **Search- and Retrieval-Augmented Generation Agents**
* 🛠️ **Tool-Using & Workflow Generation Agents**
* 🤖 **Multi-Agent Generative Systems**
* 🧠 **Planning, Reasoning, Reflection & Self-Evolving Generation**
* 🎨 **Creative Agents for Figures, Posters, Slides, UI, SVG, and Design**
* ⚙️ **ComfyUI and Generative Workflow Agents**
* 📊 **Benchmarks, Evaluation, and Data for Agentic Generation**

We use a **broad definition of Agentic Generation**: a work may be included if an agent, multi-agent system, planner, controller, or agentic workflow plays a meaningful role in the generation process — such as task decomposition, information retrieval, tool selection, workflow construction, generation, evaluation, refinement, editing, or self-improvement.

Papers are organized in **reverse chronological order**, with the latest works listed first.

## 🤝 Contributions

Agentic Generation is evolving rapidly, and we may miss relevant papers.

If you know of a paper that should be included, feel free to **open an issue or submit a pull request**.

⭐ If you find this repository useful, please consider giving it a star!

> **From one-shot generation to agents that search, plan, create, evaluate, refine, and evolve.**

## 📝 Papers

### 2026-08

| Title | Paper Link | Venue |
|---|---|---|
| ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation | [arXiv](https://arxiv.org/abs/2608.04436) | — |
| PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs | [arXiv](https://arxiv.org/abs/2608.02218) | — |
| CADIR: A Cross-Backend Editable Intermediate Representation for Agentic CAD Generation | [arXiv](https://arxiv.org/abs/2608.00891) | — |
| ParticleGen: A Multi-Agent System for Particle Effects Generation | [arXiv](https://arxiv.org/abs/2608.00629) | — |
| DrawAI: Agentic Benchmark and Workflow for Making Raster Images Editable | [arXiv](https://arxiv.org/abs/2608.00548) | — |
| Beyond Starry Night: Shortcut-Aware Control-State Planning for Artist-Grounded Text to Image Generation | [arXiv](https://arxiv.org/abs/2608.06751) | — |
| Domain-Grounded Candidate Selection for Agentic Image Editing: A Shadow Removal Case | [arXiv](https://arxiv.org/abs/2608.06075) | — |
| VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing | [arXiv](https://arxiv.org/abs/2608.05485) | — |
| WorldClaw: Agentic 3D Open-World Generation at Scale | [arXiv](https://arxiv.org/abs/2608.05248) | — |
| SeaSlides: Semantic Abstraction Layer for Agentic Slide Generation | [arXiv](https://arxiv.org/abs/2608.03298) | — |
| Crayotter: Learning Long-Horizon Video Editing Agents via Group-Relative Preference Backpropagation | [arXiv](https://arxiv.org/abs/2608.02694) | — |

### 2026-07

| Title | Paper Link | Venue |
|---|---|---|
| VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System | [arXiv](https://arxiv.org/abs/2607.27380) | — |
| PRISM: Prompt Refinement via Image-grounded Self-Rewarding Mechanism | [arXiv](https://arxiv.org/abs/2607.24353) | — |
| What Can I Edit? Open-Ended Strategy Discovery and the Emotion Editability Landscape (EmoScope) | [arXiv](https://arxiv.org/abs/2607.23920) | — |
| JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents | [arXiv](https://arxiv.org/abs/2607.23588) | — |
| GS-Agent: Creating 4D Physical Worlds With Generative Simulation | [arXiv](https://arxiv.org/abs/2607.21522) | — |
| Engine-Native Editable 3D World Reconstruction with Objects and Lighting | [arXiv](https://arxiv.org/abs/2607.20889) | — |
| ETPDesigner: Multi-Agent Orchestration for Interactive Multimodal Electronic Theater Program | [arXiv](https://arxiv.org/abs/2607.19947) | — |
| FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling | [arXiv](https://arxiv.org/abs/2607.19038) | — |
| Knowledge-Centric Agents for Workflow Generation in ComfyUI | [arXiv](https://arxiv.org/abs/2607.15845) | — |
| SymbOmni: Evolving Agentic Omni Models via Symbolic Concept Learning | [arXiv](https://arxiv.org/abs/2607.12042) | — |
| CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration | [arXiv](https://arxiv.org/abs/2607.05465) | — |
| Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation | [arXiv](https://arxiv.org/abs/2607.05382) | — |
| CoGen3D: An Agentic Human-AI Co-Design Pipeline for 3D Asset Generation for Virtual Reality | [arXiv](https://arxiv.org/abs/2607.03731) | — |
| OmniPresent: Generating Coherent Presentation Suites from Scientific Papers | [arXiv](https://arxiv.org/abs/2607.02590) | — |
| SimWorlds: A Multi-Agent System for Dynamic 3D Scene Creation | [arXiv](https://arxiv.org/abs/2607.01766) | — |
| COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows | [arXiv](https://arxiv.org/abs/2607.01709) | — |
| SAGE: Structured Agentic Graph Editing for Software Diagrams | [arXiv](https://arxiv.org/abs/2607.01102) | — |
| Grounded Multi-Operation Editing for E-Commerce Images (GMO-E²DIT) | [arXiv](https://arxiv.org/abs/2607.00920) | — |
| GVR-Coder: A Visual-Feedback Framework for Structured SVG Generation in Complex Document and Meeting Scenarios | [arXiv](https://arxiv.org/abs/2607.28073) | — |
| CinemaTraj: Composing Atomic Camera Trajectories for 3D Scenes with LLM Agents | [arXiv](https://arxiv.org/abs/2607.26910) | — |
| PlanCraft: Sketch, Refine, and Furnish for Architect-Inspired Progressive 3D Residential Scene Generation | [arXiv](https://arxiv.org/abs/2607.23491) | — |
| AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment | [arXiv](https://arxiv.org/abs/2607.22241) | — |
| Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation | [arXiv](https://arxiv.org/abs/2607.20866) | — |
| PhysAgent: Reflective Agentic Physics Control for Physically Plausible Video Generation | [arXiv](https://arxiv.org/abs/2607.16355) | — |
| Clarify Before Executing: A Self-Evolving Agent for Resolving Intent Asymmetry in 3D Tool Orchestration | [arXiv](https://arxiv.org/abs/2607.16352) | ACM MM 2026 |
| Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget | [arXiv](https://arxiv.org/abs/2607.13125) | — |
| MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models | [arXiv](https://arxiv.org/abs/2607.11594) | — |
| Exploring Agentic Workflows for Generating High Quality Math Visual Aids | [arXiv](https://arxiv.org/abs/2607.09839) | — |
| Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing | [arXiv](https://arxiv.org/abs/2607.08497) | — |
| PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generation | [arXiv](https://arxiv.org/abs/2607.01883) | ACL 2026 |
| OrchestrXR: A Multi-Agent System for Idea-to-Prototype XR Study Authoring | [arXiv](https://arxiv.org/abs/2607.01588) | — |

### 2026-06

| Title | Paper Link | Venue |
|---|---|---|
| DataEvolver: Self-Evolving Multi-Agent Data Construction for Text-Rich Image Generation | [arXiv](https://arxiv.org/abs/2606.31537) | — |
| Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution (SEAR) | [arXiv](https://arxiv.org/abs/2606.28971) | — |
| Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency Rewards | [arXiv](https://arxiv.org/abs/2606.27376) | — |
| Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation | [arXiv](https://arxiv.org/abs/2606.26907) | — |
| VideoAgent: All-in-One Framework for Video Understanding and Editing | [arXiv](https://arxiv.org/abs/2606.23327) | — |
| RS-Gen: A Multi-Stage Agentic Framework for Reasoning and Search-Augmented Image Generation | [arXiv](https://arxiv.org/abs/2606.23221) | — |
| Taming I2V Models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework (SCPE) | [arXiv](https://arxiv.org/abs/2606.19073) | — |
| Bridging Creative Intent and Visual Quality: Creator-Driven Recurrent Video Generation with Agentic Feedback Loops (CHIEF) | [arXiv](https://arxiv.org/abs/2606.18591) | — |
| SceneCraft: Interactive System for Image Editing via Scene Graph | [arXiv](https://arxiv.org/abs/2606.16103) | — |
| MUSE: Agentic 3D Scene Authoring via Memory-Grounded Incremental Requirement Satisfaction | [arXiv](https://arxiv.org/abs/2606.14168) | — |
| InterleaveThinker: Reinforcing Agentic Interleaved Generation | [arXiv](https://arxiv.org/abs/2606.13679) | — |
| SceneConductor: 3D Scene Generation from a Single Image with Multi-Agent Orchestration | [arXiv](https://arxiv.org/abs/2606.08402) | — |
| VideoWeaver: Evaluating and Evolving Skills for Agentic Long Video Generation | [arXiv](https://arxiv.org/abs/2606.08091) | — |
| ViMax: Agentic Video Generation | [arXiv](https://arxiv.org/abs/2606.07649) | — |
| Crayotter: Traceable Multi-Agent Workflows for Long-Form Video Editing | [arXiv](https://arxiv.org/abs/2606.07636) | — |
| MemoGen: Can Past Experience Improve Future Text-to-Image Generation? | [arXiv](https://arxiv.org/abs/2606.03243) | — |
| JAVEDIT: Joint Audio-Visual Instruction-Guided Video Editing with Agentic Data Curation | [arXiv](https://arxiv.org/abs/2606.03168) | — |
| Any2Poster: Any-Source Poster Generation Across Modalities and Domains | [arXiv](https://arxiv.org/abs/2606.02915) | — |
| OctoT2I: A Self-Evolving Agentic Text-to-Image Router | [arXiv](https://arxiv.org/abs/2606.01803) | — |
| APE: Agentic Prompt Enhancer for Image Generation and Editing | [arXiv](https://arxiv.org/abs/2606.00204) | — |
| ManimAgent: Self-Evolving Multimodal Agents for Visual Education | [arXiv](https://arxiv.org/abs/2606.30296) | — |
| NaLA: A 3D Native LLM Layout Agent for High-quality 3D Scene Generation | [arXiv](https://arxiv.org/abs/2606.29395) | ECCV 2026 |
| TempAct: Advancing Temporal Plausibility in Autoregressive Video Generation via Planner-Executor RL | [arXiv](https://arxiv.org/abs/2606.28016) | — |
| One Image is All You Need: Agentic One-Shot Image Generation via Text-Based World Models for Long-Tail Spatial Perception | [arXiv](https://arxiv.org/abs/2606.20764) | — |
| OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation | [arXiv](https://arxiv.org/abs/2606.17536) | — |
| MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision | [arXiv](https://arxiv.org/abs/2606.17162) | — |
| Closed-Loop Triplet Synergistic Generation for Long-Form Video | [arXiv](https://arxiv.org/abs/2606.16184) | — |
| Temporal Backtracking Search for Test-time Generative Video Reasoning | [arXiv](https://arxiv.org/abs/2606.13861) | — |
| IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing | [arXiv](https://arxiv.org/abs/2606.13368) | — |
| HDSL: A Hierarchical Domain-Specific Language for Structured 3D Indoor Scene Generation and Localized Editing with LLM Agents | [arXiv](https://arxiv.org/abs/2606.09738) | — |
| IEA: Amateur-Friendly Conversational Image Editing Agent via Three Stages of Multitask Alignment | [arXiv](https://arxiv.org/abs/2606.08016) | CVPR 2026 Findings |
| Global-Local Monte Carlo Tree Search in Vision-Language Models for Text-to-3D Indoor Scene Generation | [arXiv](https://arxiv.org/abs/2606.06002) | — |
| TVIR: Building Deep Research Agents Towards Text-Visual Interleaved Report Generation | [arXiv](https://arxiv.org/abs/2606.02320) | — |
| Multi-Agent Orchestration for Interactive Multimodal Storytelling in Visual-Novel-Style Adventure Games | [CVF](https://openaccess.thecvf.com/content/CVPR2026W/AISTORY/html/Wei_Multi-Agent_Orchestration_for_Interactive_Multimodal_Storytelling_in_Visual-Novel-Style_Adventure_Games_CVPRW_2026_paper.html) | CVPR 2026 Workshop (AISTORY) |
| Multi-Agent Video Prediction: Self-Correcting Conditional Frames for Dynamic Scene Forecasting | [CVF](https://openaccess.thecvf.com/content/CVPR2026W/MEIS/html/Zhang_Multi-Agent_Video_Prediction_Self-Correcting_Conditional_Frames_for_Dynamic_Scene_Forecasting_CVPRW_2026_paper.html) | CVPR 2026 Workshop (MEIS) |
| IntentEdit: Multi-Agent Reasoning for Intent-Driven Complex Image Editing | [CVF](https://openaccess.thecvf.com/content/CVPR2026F/html/Zhang_IntentEdit_Multi-Agent_Reasoning_for_Intent-Driven_Complex_Image_Editing_CVPRF_2026_paper.html) | CVPR 2026 Findings |
| StoryNodes: Human-AI Co-Creation for Multimodal Media Generation Using an Agentic Node-Based Interface | [CVF](https://openaccess.thecvf.com/content/CVPR2026W/A4VM/papers/Kyaw_StoryNodes_Human-AI_Co-Creation_for_Multimodal_Media_Generation_Using_an_Agentic_CVPRW_2026_paper.pdf) | CVPR 2026 Workshop (A4VM) |

### 2026-05

| Title | Paper Link | Venue |
|---|---|---|
| Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs | [arXiv](https://arxiv.org/abs/2605.30611) | — |
| GenClaw: Code-Driven Agentic Image Generation | [arXiv](https://arxiv.org/abs/2605.30248) | — |
| DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation | [arXiv](https://arxiv.org/abs/2605.30090) | — |
| MangaFlow: An End-to-End Agentic Framework for Controllable Story to Manga Generation | [arXiv](https://arxiv.org/abs/2605.28173) | — |
| AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? | [arXiv](https://arxiv.org/abs/2605.27705) | — |
| LiveFigure: Generating Editable Scientific Illustration with VLM Agents | [arXiv](https://arxiv.org/abs/2605.23527) | — |
| GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation | [arXiv](https://arxiv.org/abs/2605.21605) | — |
| Aurora: Unified Video Editing with a Tool-Using Agent | [arXiv](https://arxiv.org/abs/2605.18748) | — |
| Generation Navigator: A State-Aware Agentic Framework for Image Generation | [arXiv](https://arxiv.org/abs/2605.17969) | — |
| Articraft: An Agentic System for Scalable Articulated 3D Asset Generation | [arXiv](https://arxiv.org/abs/2605.15187) | — |
| From Plans to Pixels: Learning to Plan and Orchestrate for Open-Ended Image Editing | [arXiv](https://arxiv.org/abs/2605.15181) | — |
| SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning | [arXiv](https://arxiv.org/abs/2605.09423) | — |
| SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation | [arXiv](https://arxiv.org/abs/2605.08043) | — |
| EditRefiner: A Human-Aligned Agentic Framework for Image Editing Refinement | [arXiv](https://arxiv.org/abs/2605.07457) | — |
| Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion | [arXiv](https://arxiv.org/abs/2605.01477) | — |
| 3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code | [arXiv](https://arxiv.org/abs/2606.01057) | — |
| CogPortrait: Fine-Grained Eye-Region Control in Portrait Animation via Hierarchical Agent Planning | [arXiv](https://arxiv.org/abs/2605.28056) | — |
| ReViz: Structured Visual Synthesis of Research Methodology Diagrams | [OpenReview](https://openreview.net/forum?id=jgN31gJMrH) | — |
| Code2UML: Agentic LLMs with context engineering for scalable software visualization | [arXiv](https://arxiv.org/abs/2605.24453) | — |
| S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration | [arXiv](https://arxiv.org/abs/2605.22448) | IEEE ICME 2026 |
| One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems | [arXiv](https://arxiv.org/abs/2605.22144) | — |
| SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects | [arXiv](https://arxiv.org/abs/2605.19587) | — |
| NEWTON: Agentic Planning for Physically Grounded Video Generation | [arXiv](https://arxiv.org/abs/2605.18396) | — |
| Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration | [arXiv](https://arxiv.org/abs/2605.17423) | — |
| Genflow Ad Studio: A Compound AI Architecture for Brand-Aligned, Self-Correcting Video Generation | [arXiv](https://arxiv.org/abs/2605.16748) | ACM CAIS 2026 |
| PresentAgent-2: Towards Generalist Multimodal Presentation Agents | [arXiv](https://arxiv.org/abs/2605.11363) | — |

### 2026-04

| Title | Paper Link | Venue |
|---|---|---|
| Co-Director: Agentic Generative Video Storytelling | [arXiv](https://arxiv.org/abs/2604.24842) | — |
| Render-in-the-Loop: Vector Graphics Generation via Visual Self-Feedback | [arXiv](https://arxiv.org/abs/2604.20730) | — |
| Making Image Editing Easier via Adaptive Task Reformulation with Agentic Executions | [arXiv](https://arxiv.org/abs/2604.15917) | — |
| Authoring for Living Worlds: Tool-Constrained LLM Agents for Executable Multi-Actor Scenarios | [arXiv](https://arxiv.org/abs/2604.10383) | — |
| EvoDiagram: Agentic Editable Diagram Creation via Design Expertise Evolution | [arXiv](https://arxiv.org/abs/2604.09568) | — |
| Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation | [arXiv](https://arxiv.org/abs/2604.09195) | — |
| Cutscene Agent: An LLM Agent Framework for Automated 3D Cutscene Generation | [arXiv](https://arxiv.org/abs/2604.25318) | — |
| PhysCodeBench: Benchmarking Physics-Aware Symbolic Simulation of 3D Scenes via Self-Corrective Multi-Agent Refinement | [arXiv](https://arxiv.org/abs/2604.23580) | — |
| CineAGI: Character-Consistent Movie Creation through LLM-Orchestrated Multi-Modal Generation and Cross-Scene Integration | [arXiv](https://arxiv.org/abs/2604.23579) | IEEE ICME 2026 |
| Self-Reasoning Agentic Framework for Narrative Product Grid-Collage Generation | [arXiv](https://arxiv.org/abs/2604.16958) | — |
| CANVAS: Continuity-Aware Narratives via Visual Agentic Storyboarding | [arXiv](https://arxiv.org/abs/2604.13452) | — |
| Sima 1.0: A Collaborative Multi-Agent Framework for Documentary Video Production | [arXiv](https://arxiv.org/abs/2604.07721) | — |
| Lighting-grounded Video Generation with Renderer-based Agent Reasoning | [arXiv](https://arxiv.org/abs/2604.07966) | CVPR 2026 |
| SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation | [arXiv](https://arxiv.org/abs/2604.05489) | — |
| GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing | [arXiv](https://arxiv.org/abs/2604.05076) | — |
| DIRECT: Video Mashup Creation via Hierarchical Multi-Agent Planning and Intent-Guided Editing | [arXiv](https://arxiv.org/abs/2604.04875) | — |
| CAMEO: A Conditional and Quality-Aware Multi-Agent Image Editing Orchestrator | [arXiv](https://arxiv.org/abs/2604.03156) | — |

### 2026-03

| Title | Paper Link | Venue |
|---|---|---|
| CutClaw: Agentic Hours-Long Video Editing via Music Synchronization | [arXiv](https://arxiv.org/abs/2603.29664) | — |
| Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis | [arXiv](https://arxiv.org/abs/2603.29620) | — |
| IMAGAgent: Orchestrating Multi-Turn Image Editing via Constraint-Aware Planning and Reflection | [arXiv](https://arxiv.org/abs/2603.29602) | — |
| Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration | [arXiv](https://arxiv.org/abs/2603.29590) | — |
| Gen-Searcher: Reinforcing Agentic Search for Image Generation | [arXiv](https://arxiv.org/abs/2603.28767) | — |
| GEMS: Agent-Native Multimodal Generation with Memory and Skills | [arXiv](https://arxiv.org/abs/2603.28088) | — |
| ScaleEdit-12M: Scaling Open-Source Image Editing Data Generation via Multi-Agent Framework | [arXiv](https://arxiv.org/abs/2603.20644) | — |
| Agentic Flow Steering and Parallel Rollout Search for Spatially Grounded Text-to-Image Generation (AFS-Search) | [arXiv](https://arxiv.org/abs/2603.18627) | — |
| Mind-of-Director: Multi-modal Agent-Driven Film Previsualization via Collaborative Decision-Making | [arXiv](https://arxiv.org/abs/2603.14790) | — |
| GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation | [arXiv](https://arxiv.org/abs/2603.14724) | — |
| coDrawAgents: A Multi-Agent Dialogue Framework for Compositional Image Generation | [arXiv](https://arxiv.org/abs/2603.12829) | CVPR 2026 Findings |
| SceneAssistant: A Visual Feedback Agent for Open-Vocabulary 3D Scene Generation | [arXiv](https://arxiv.org/abs/2603.12238) | — |
| MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks | [arXiv](https://arxiv.org/abs/2603.11554) | — |
| COMIC: Agentic Sketch Comedy Generation | [arXiv](https://arxiv.org/abs/2603.11048) | — |
| ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning | [arXiv](https://arxiv.org/abs/2603.08059) | — |
| Agentic Planning with Reasoning for Image Styling via Offline RL | [arXiv](https://arxiv.org/abs/2603.07148) | — |
| AutoUE: Automated Generation of 3D Games in Unreal Engine via Multi-Agent Systems | [arXiv](https://arxiv.org/abs/2603.07106) | Findings of ACL 2026 |
| StruVis: Enhancing Reasoning-based Text-to-Image Generation via Thinking with Structured Vision | [arXiv](https://arxiv.org/abs/2603.06032) | — |
| InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions | [arXiv](https://arxiv.org/abs/2603.03646) | — |
| VisionCreator: A Native Visual-Generation Agentic Model with Understanding, Thinking, Planning and Creation | [arXiv](https://arxiv.org/abs/2603.02681) | CVPR 2026 |
| RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment | [arXiv](https://arxiv.org/abs/2603.00483) | CVPR 2026 |
| Towards Context-Aware Image Anonymization with Multi-Agent Reasoning | [arXiv](https://arxiv.org/abs/2603.27817) | CVPR 2026 Workshop (GRAIL-V) |
| WorldAgents: Can Foundation Image Models be Agents for 3D World Models? | [arXiv](https://arxiv.org/abs/2603.19708) | — |
| SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity | [ACL Anthology](https://aclanthology.org/2026.findings-eacl.169/) | Findings of EACL 2026 |
| iARCS: Iterative Agentic RL for Controllable 3D Scene Generation | [arXiv](https://arxiv.org/abs/2608.06161) | CVPR 2026 Workshop (SynData4CV) |
| MSRAMIE: Multimodal Structured Reasoning Agent for Multi-instruction Image Editing | [arXiv](https://arxiv.org/abs/2603.16967) | — |
| Learning to Present: Inverse Specification Rewards for Agentic Slide Generation | [arXiv](https://arxiv.org/abs/2603.16839) | — |
| Feynman: Knowledge-Infused Diagramming Agent for Scalable Visual Designs | [arXiv](https://arxiv.org/abs/2603.12597) | — |
| VQQA: An Agentic Approach for Video Evaluation and Quality Improvement | [arXiv](https://arxiv.org/abs/2603.12310) | — |
| SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents | [arXiv](https://arxiv.org/abs/2603.08403) | — |
| BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation | [arXiv](https://arxiv.org/abs/2603.02816) | — |

### 2026-02

| Title | Paper Link | Venue |
|---|---|---|
| DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation | [arXiv](https://arxiv.org/abs/2602.22839) | — |
| PhotoAgent: Agentic Photo Editing with Exploratory Visual Aesthetic Planning | [arXiv](https://arxiv.org/abs/2602.22809) | ICML 2026 (Oral) |
| AnimeAgent: Is the Multi-Agent via Image-to-Video Models a Good Disney Storytelling Artist? | [arXiv](https://arxiv.org/abs/2602.20664) | — |
| SAGE: Scalable Agentic 3D Scene Generation for Embodied AI | [arXiv](https://arxiv.org/abs/2602.10116) | CVPR 2026 |
| Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling | [arXiv](https://arxiv.org/abs/2602.09084) | — |
| M3: High-fidelity Text-to-Image Generation via Multi-Modal, Multi-Agent and Multi-Round Visual Reasoning | [arXiv](https://arxiv.org/abs/2602.06166) | — |
| PaperX: A Unified Framework for Multimodal Academic Presentation Generation with Scholar DAG | [arXiv](https://arxiv.org/abs/2602.03866) | — |
| SIDiffAgent: Self-Improving Diffusion Agent | [arXiv](https://arxiv.org/abs/2602.02051) | — |
| Mind-Brush: Integrating Agentic Cognitive Search and Reasoning into Image Generation | [arXiv](https://arxiv.org/abs/2602.01756) | — |
| Vinedresser3D: Towards Agentic Text-guided 3D Editing | [arXiv](https://arxiv.org/abs/2602.19542) | CVPR 2026 |
| RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist Reward | [arXiv](https://arxiv.org/abs/2602.17558) | — |
| PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement | [arXiv](https://arxiv.org/abs/2602.14968) | ICLR 2026 |
| Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video Generation | [arXiv](https://arxiv.org/abs/2602.11790) | KDD 2026 |
| DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing | [arXiv](https://arxiv.org/abs/2602.13318) | — |
| SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes | [arXiv](https://arxiv.org/abs/2602.09153) | ICML 2026 Spotlight |
| T2VTree: User-Centered Visual Analytics for Agent-Assisted Thought-to-Video Authoring | [arXiv](https://arxiv.org/abs/2602.08368) | — |
| AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations | [arXiv](https://arxiv.org/abs/2602.03828) | ICLR 2026 |

### 2026-01

| Title | Paper Link | Venue |
|---|---|---|
| PaperBanana: Automating Academic Illustration for AI Scientists | [arXiv](https://arxiv.org/abs/2601.23265) | ICML 2026 (Spotlight) |
| GenAgent: Scaling Text-to-Image Generation via Agentic Multimodal Reasoning | [arXiv](https://arxiv.org/abs/2601.18543) | — |
| Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning (VIGA) | [arXiv](https://arxiv.org/abs/2601.11109) | — |
| Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders | [arXiv](https://arxiv.org/abs/2601.10332) | — |
| From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process Design | [arXiv](https://arxiv.org/abs/2601.06776) | — |
| From Idea to Co-Creation: A Planner-Actor-Critic Framework for Agent Augmented 3D Modeling | [arXiv](https://arxiv.org/abs/2601.05016) | — |
| SciFig: Towards Automating Editable Figure Generation for Scientific Papers | [arXiv](https://arxiv.org/abs/2601.04390) | — |
| ComfySearch: Autonomous Exploration and Reasoning for ComfyUI Workflows | [arXiv](https://arxiv.org/abs/2601.04060) | — |
| Agentic Retoucher for Text-To-Image Generation | [arXiv](https://arxiv.org/abs/2601.02046) | CVPR 2026 |
| PerfGuard: A Performance-Aware Agent for Visual Content Generation | [arXiv](https://arxiv.org/abs/2601.22571) | ICLR 2026 |
| The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation | [arXiv](https://arxiv.org/abs/2601.17737) | — |
| 3D Space as a Scratchpad for Editable Text-to-Image Generation | [arXiv](https://arxiv.org/abs/2601.14602) | CVPR 2026 |
| World Craft: Agentic Framework to Create Visualizable Worlds via Text | [arXiv](https://arxiv.org/abs/2601.09150) | — |
| APEX: Academic Poster Editing Agentic Expert | [arXiv](https://arxiv.org/abs/2601.04794) | — |
| MiLDEdit: Reasoning-Based Multi-Layer Design Document Editing | [arXiv](https://arxiv.org/abs/2601.04589) | — |
| I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing | [arXiv](https://arxiv.org/abs/2601.03741) | — |
| A Versatile Multimodal Agent for Multimedia Content Generation | [arXiv](https://arxiv.org/abs/2601.03250) | — |

### 2025-12

| Title | Paper Link | Venue |
|---|---|---|
| AutoMV: An Automatic Multi-Agent System for Music Video Generation | [arXiv](https://arxiv.org/abs/2512.12196) | — |
| AgentComp: From Agentic Reasoning to Compositional Mastery in Text-to-Image Models | [arXiv](https://arxiv.org/abs/2512.09081) | — |

### 2025-11

| Title | Paper Link | Venue |
|---|---|---|
| JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization | [arXiv](https://arxiv.org/abs/2511.23002) | CVPR 2026 |
| MIRA: Multimodal Iterative Reasoning Agent for Image Editing | [arXiv](https://arxiv.org/abs/2511.21087) | CVPR 2026 Findings |
| ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation | [arXiv](https://arxiv.org/abs/2511.11483) | — |

### 2025-10

| Title | Paper Link | Venue |
|---|---|---|
| From Pixels to Paths: A Multi-Agent Framework for Editable Scientific Illustration (VisPainter) | [arXiv](https://arxiv.org/abs/2510.27452) | — |
| Open Multimodal Retrieval-Augmented Factual Image Generation (ORIG) | [arXiv](https://arxiv.org/abs/2510.22521) | — |
| Hollywood Town: Long-Video Generation via Cross-Modal Multi-Agent Orchestration | [arXiv](https://arxiv.org/abs/2510.22431) | — |
| VISTA: A Test-Time Self-Improving Video Generation Agent | [arXiv](https://arxiv.org/abs/2510.15831) | CVPR 2026 |
| GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation | [arXiv](https://arxiv.org/abs/2510.07217) | Findings of EMNLP 2025 |
| World-To-Image: Grounding Text-to-Image Generation with Agent-Driven World Knowledge | [arXiv](https://arxiv.org/abs/2510.04201) | — |

### 2025-09

| Title | Paper Link | Venue |
|---|---|---|
| PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization | [arXiv](https://arxiv.org/abs/2509.12446) | EMNLP 2025 System Demonstrations |
| Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration | [arXiv](https://arxiv.org/abs/2509.10704) | — |
| Interleaving Reasoning for Better Text-to-Image Generation | [arXiv](https://arxiv.org/abs/2509.06945) | — |

### 2025-08

| Title | Paper Link | Venue |
|---|---|---|
| AniME: Adaptive Multi-Agent Planning for Long Animation Generation | [arXiv](https://arxiv.org/abs/2508.18781) | SIGGRAPH Asia 2025 Posters |
| An LLM-LVLM Driven Agent for Iterative and Fine-Grained Image Editing (RefineEdit-Agent) | [arXiv](https://arxiv.org/abs/2508.17435) | — |
| PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMs | [arXiv](https://arxiv.org/abs/2508.17188) | — |
| A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation (MAGUS) | [arXiv](https://arxiv.org/abs/2508.10494) | — |
| MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling | [arXiv](https://arxiv.org/abs/2508.08487) | — |
| Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing | [arXiv](https://arxiv.org/abs/2508.06916) | AAAI 2026 |
| Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision | [arXiv](https://arxiv.org/abs/2508.05606) | ICLR 2026 |

### 2025-07

| Title | Paper Link | Venue |
|---|---|---|
| T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation | [arXiv](https://arxiv.org/abs/2507.20536) | ICCV 2025 |
| Captain Cinema: Towards Short Movie Generation | [arXiv](https://arxiv.org/abs/2507.18634) | — |
| Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing | [arXiv](https://arxiv.org/abs/2507.05259) | — |

### 2025-06

| Title | Paper Link | Venue |
|---|---|---|
| VisualPrompter: Semantic-Aware Prompt Optimization with Visual Feedback for Text-to-Image Synthesis | [arXiv](https://arxiv.org/abs/2506.23138) | ICLR 2026 |
| AniMaker: Automated Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation | [arXiv](https://arxiv.org/abs/2506.10540) | SIGGRAPH Asia 2025 Conference Papers |
| ComfyUI-R1: Exploring Reasoning Models for Workflow Generation | [arXiv](https://arxiv.org/abs/2506.09790) | Findings of ACL 2026 |
| ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development | [arXiv](https://arxiv.org/abs/2506.05010) | ACL 2025 System Demonstrations |
| Gen-n-Val: Agentic Image Data Generation and Validation | [arXiv](https://arxiv.org/abs/2506.04676) | CVPR 2026 Findings |
| OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation | [arXiv](https://arxiv.org/abs/2506.02015) | CVPR 2026 |

### 2025-05

| Title | Paper Link | Venue |
|---|---|---|
| ReasonGen-R1: CoT for Autoregressive Image Generation Models through SFT and RL | [arXiv](https://arxiv.org/abs/2505.24875) | — |
| PreGenie: An Agentic Framework for High-quality Visual Presentation Generation | [arXiv](https://arxiv.org/abs/2505.21660) | Findings of EMNLP 2025 |
| Agentic 3D Scene Generation with Spatially Contextualized VLMs | [arXiv](https://arxiv.org/abs/2505.20129) | — |
| ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback | [arXiv](https://arxiv.org/abs/2505.17908) | — |
| IA-T2I: Internet-Augmented Text-to-Image Generation | [arXiv](https://arxiv.org/abs/2505.15779) | — |
| MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation | [arXiv](https://arxiv.org/abs/2505.02648) | CVPR 2025 |
| T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT | [arXiv](https://arxiv.org/abs/2505.00703) | NeurIPS 2025 |

### 2025-04

| Title | Paper Link | Venue |
|---|---|---|
| Marmot: Multi-Agent Reasoning for Multi-Object Self-Correcting in Improving Image-Text Alignment | [arXiv](https://arxiv.org/abs/2504.20054) | — |
| A Unified Agentic Framework for Evaluating Conditional Image Generation (CIGEval) | [arXiv](https://arxiv.org/abs/2504.07046) | ACL 2025 |
| CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation | [arXiv](https://arxiv.org/abs/2504.05306) | NeurIPS 2025 (Main Conference) |

### 2025-03

| Title | Paper Link | Venue |
|---|---|---|
| ComfyGPT: A Self-Optimizing Multi-Agent System for Comprehensive ComfyUI Workflow Generation | [arXiv](https://arxiv.org/abs/2503.17671) | — |
| Automated Movie Generation via Multi-Agent CoT Planning (MovieAgent) | [arXiv](https://arxiv.org/abs/2503.07314) | — |
| MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio | [arXiv](https://arxiv.org/abs/2503.05242) | — |

### 2025-02

| Title | Paper Link | Venue |
|---|---|---|
| Multi-Agent Multimodal Models for Multicultural Text to Image Generation (MosAIG) | [arXiv](https://arxiv.org/abs/2502.15972) | — |

### 2025-01

| Title | Paper Link | Venue |
|---|---|---|
| Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step | [arXiv](https://arxiv.org/abs/2501.13926) | CVPR 2025 |
| FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces | [arXiv](https://arxiv.org/abs/2501.12909) | — |

## Community

Join our WeChat community to discuss.

## 📮 Contact

[yuxm02@gmail.com](mailto:yuxm02@gmail.com)

Awesome-Agentic-Gen

Awesome-Agentic-Gen Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Awesome-Agentic-Gen

Awesome-Agentic-Gen Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README