MOMotion4Motion
Motion4Motion
Model Overview
Motion4Motion is a undisclosed-parameter model developed by Tsinghua University & StepFun. Released on 2026-07-25.
📊 Quick Specs
| Specification | Value |
|---|---|
| Parameters | undisclosed |
| Task | video-generation |
| Modality | video |
| License | Other/Custom |
| Type | research-preview |
✨ Key Features
- Training-Free: No fine-tuning or task-specific training required — runs at inference time on any video pair
- Skeleton-Free Motion Transfer: Models subject motion flow instead of skeleton topology, enabling transfer across different species and body types
- Cross-Species Transfer: Works across diverse morphologies — human, animal, and non-human character motion transfer
- TransPE (Transferring Positional Encoding): Novel technique for mapping motion patterns between subjects at different spatial scales
- SIGGRAPH 2026: Peer-reviewed research at ACM SIGGRAPH 2026 Conference Papers
🔗 Resources
- Paper: arXiv
- Website: Project Page
📜 License & Access
Other/Custom — See repository for specific license details.
Key Features
Training-Free: No fine-tuning or task-specific training required — runs at inference time on any video pair
Skeleton-Free Motion Transfer: Models subject motion flow instead of skeleton topology, enabling transfer across different species and body types
Cross-Species Transfer: Works across diverse morphologies — human, animal, and non-human character motion transfer
TransPE (Transferring Positional Encoding): Novel technique for mapping motion patterns between subjects at different spatial scales
SIGGRAPH 2026: Peer-reviewed research at ACM SIGGRAPH 2026 Conference Papers
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Tags
Model Specs
Parameters
Undisclosed
Context Window
unknown
License
Other/Custom
Deployment
Resources & Links
Curator Notes
Partially enriched via migration on 2026-07-25. Manual review recommended.
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