hanyang9/UMR
The official codebase of Unified Motion Retargeting
About the project
Official codebase of UMR, a motion retargeting method that transfers human motion to humanoid robots via learned point cloud surface correspondence. It adapts motions from various sources (SMPL-X, BVH, GRAIL, OMOMO, etc.) to a robot without manual human-robot mapping.
Useful for
- Retarget LAFAN1/SMPL-X motion onto Unitree G1 and visualize it in MuJoCo
- Set up retargeting for a new robot by defining its T-pose via UMR Studio
- Run batch retargeting of a motion sequence from the OMOMO dataset
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 35 stars today.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 6 days old and already has 296 stars.
- Top new repositories this week: #38.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 296
- Stars in a day
- 35
- Forks
- 17
- Issues and pull requests
- 4
- Watchers
- 4
- Language
- Python
- Created
- September 7, 2026
- Last push
- September 10, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 13, 2026Top new repositories this week: #38
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