# snap-research/R2L

<https://repo.masters-masters.com/en/repos/snap-research/R2L>

[Home](https://repo.masters-masters.com/en) › [snap-research](https://repo.masters-masters.com/en/owners/snap-research) › [R2L](https://repo.masters-masters.com/en/repos/snap-research/R2L)

snap-research/R2L has 189 stars on GitHub. Its RepoMasters card: Prototype tier. \[ECCV 2022\] R2L: Distilling Neural Radiance Field to Neural Light Field for…

| Field | Value |
| --- | --- |
| Owner | [snap-research](https://repo.masters-masters.com/en/owners/snap-research) |
| Stars | 189 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | nerf, deep-learning, distillation, neural-light-field, mlp, novel-view-synthesis, rendering |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [snap-research/R2L](https://github.com/snap-research/R2L) |

## Repository

\[ECCV 2022\] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

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.