# sanweiliti/RoHM

<https://repo.masters-masters.com/en/repos/sanweiliti/RoHM>

[Home](https://repo.masters-masters.com/en) › [sanweiliti](https://repo.masters-masters.com/en/owners/sanweiliti) › [RoHM](https://repo.masters-masters.com/en/repos/sanweiliti/RoHM)

sanweiliti/RoHM has 401 stars on GitHub. Its RepoMasters card: Alpha tier. The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

| Field | Value |
| --- | --- |
| Owner | [sanweiliti](https://repo.masters-masters.com/en/owners/sanweiliti) |
| Stars | 401 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | 3d-human-shape-and-pose-estimation, 3d-vision, diffusion, human-mesh-recovery, motion-prior, human-motion-reconstruction |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [sanweiliti/RoHM](https://github.com/sanweiliti/RoHM) |

## Repository

The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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- [sanweiliti/LEMO · ★ 205 · Python · Prototype](https://repo.masters-masters.com/en/repos/sanweiliti/LEMO)
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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
