# lzzcd001/MeshDiffusion

<https://repo.masters-masters.com/en/repos/lzzcd001/MeshDiffusion>

[Home](https://repo.masters-masters.com/en) › [lzzcd001](https://repo.masters-masters.com/en/owners/lzzcd001) › [MeshDiffusion](https://repo.masters-masters.com/en/repos/lzzcd001/MeshDiffusion)

lzzcd001/MeshDiffusion has 831 stars on GitHub. Its RepoMasters card: Beta tier. Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh…

| Field | Value |
| --- | --- |
| Owner | [lzzcd001](https://repo.masters-masters.com/en/owners/lzzcd001) |
| Stars | 831 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | pytorch, diffusion-models, generative-model, mesh-generation |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [lzzcd001/MeshDiffusion](https://github.com/lzzcd001/MeshDiffusion) |

## Repository

Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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