# kaist-ami/HDR-Plenoxels

<https://repo.masters-masters.com/en/repos/kaist-ami/HDR-Plenoxels>

[Home](https://repo.masters-masters.com/en) › [kaist-ami](https://repo.masters-masters.com/en/owners/kaist-ami) › [HDR-Plenoxels](https://repo.masters-masters.com/en/repos/kaist-ami/HDR-Plenoxels)

kaist-ami/HDR-Plenoxels has 116 stars on GitHub. Its RepoMasters card: Prototype tier. \[ECCV'22\] Official PyTorch Implementation of "HDR-Plenoxels…

| Field | Value |
| --- | --- |
| Owner | [kaist-ami](https://repo.masters-masters.com/en/owners/kaist-ami) |
| Stars | 116 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [kaist-ami/HDR-Plenoxels](https://github.com/kaist-ami/HDR-Plenoxels) |

## Repository

\[ECCV'22\] Official PyTorch Implementation of "HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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