# robotgradient/grasp\_diffusion

<https://repo.masters-masters.com/en/repos/robotgradient/grasp_diffusion>

[Home](https://repo.masters-masters.com/en) › [robotgradient](https://repo.masters-masters.com/en/owners/robotgradient) › [grasp\_diffusion](https://repo.masters-masters.com/en/repos/robotgradient/grasp_diffusion)

robotgradient/grasp\_diffusion has 361 stars on GitHub. Its RepoMasters card: Alpha tier. Pytorch implementation of diffusion models on Lie Groups for 6D grasp…

| Field | Value |
| --- | --- |
| Owner | [robotgradient](https://repo.masters-masters.com/en/owners/robotgradient) |
| Stars | 361 |
| Forks | 39 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | diffusion, diffusion-models, grasping, lie-groups, deep-learning, robotics |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [robotgradient/grasp\_diffusion](https://github.com/robotgradient/grasp_diffusion) |

## Repository

Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.