# ashawkey/nerf2mesh

<https://repo.masters-masters.com/en/repos/ashawkey/nerf2mesh>

[Home](https://repo.masters-masters.com/en) › [ashawkey](https://repo.masters-masters.com/en/owners/ashawkey) › [nerf2mesh](https://repo.masters-masters.com/en/repos/ashawkey/nerf2mesh)

ashawkey/nerf2mesh has 966 stars on GitHub. Its RepoMasters card: Beta tier. \[ICCV2023\] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface…

| Field | Value |
| --- | --- |
| Owner | [ashawkey](https://repo.masters-masters.com/en/owners/ashawkey) |
| Stars | 966 |
| Forks | 88 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | mesh, nerf, real-time |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [ashawkey/nerf2mesh](https://github.com/ashawkey/nerf2mesh) |

## Repository

\[ICCV2023\] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

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

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