# jkulhanek/tetra-nerf

<https://repo.masters-masters.com/en/repos/jkulhanek/tetra-nerf>

[Home](https://repo.masters-masters.com/en) › [jkulhanek](https://repo.masters-masters.com/en/owners/jkulhanek) › [tetra-nerf](https://repo.masters-masters.com/en/repos/jkulhanek/tetra-nerf)

jkulhanek/tetra-nerf has 294 stars on GitHub. Its RepoMasters card: Alpha tier. Official implementation for Tetra-NeRF paper - NeRF represented as…

| Field | Value |
| --- | --- |
| Owner | [jkulhanek](https://repo.masters-masters.com/en/owners/jkulhanek) |
| Stars | 294 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | nerf, nerfstudio, neural-networks, 3d, 3d-reconstruction, computer-vision, optix, pytorch, raytracing |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jkulhanek/tetra-nerf](https://github.com/jkulhanek/tetra-nerf) |

## Repository

Official implementation for Tetra-NeRF paper - NeRF represented as triangulation of input point cloud.

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.