World2Motion: Turning Video World Models into 3D Human Motion Generators

arXiv:2609.37004 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-30

Project page: https://fyantu.github.io/World2Motion

Terminology

• Ablation — 12× in this paper · explained in 1 episode
• World Model — 12× in this paper · explained in 7 episodes
• Computer Vision and Pattern Recognition — 10× in this paper
• Alignment — 9× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Interaction Success Rate — 3× in this paper
• Ablation Studies — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Affordance — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Flow Matching — 2× in this paper · explained in 8 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Mixture of Transformer — 2× in this paper
• Transactions on Graphics — 2× in this paper
• Ablation study — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Flow Matching Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• Cosmos 3: Omnimodal World Models for Physical AI
• Qwen3-VL Technical Report
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Classifier-Free Diffusion Guidance
• Kimodo: Scaling Controllable Human Motion Generation
• HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation
• Wan: Open and Advanced Large-Scale Video Generative Models
• GIRAF: Towards Generalizable Human Interactions with Articulated Objects
• CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos
• OnlineHMR: Video-based Online World-Grounded Human Mesh Recovery
• InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement

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