# oneTaken/Awesome-Denoise

<https://repo.masters-masters.com/en/repos/oneTaken/Awesome-Denoise>

[Home](https://repo.masters-masters.com/en) › [oneTaken](https://repo.masters-masters.com/en/owners/oneTaken) › [Awesome-Denoise](https://repo.masters-masters.com/en/repos/oneTaken/Awesome-Denoise)

oneTaken/Awesome-Denoise has 505 stars on GitHub. Its RepoMasters card: Alpha tier. One-paper-one-short-contribution-summary of all latest image/burst/video…

| Field | Value |
| --- | --- |
| Owner | [oneTaken](https://repo.masters-masters.com/en/owners/oneTaken) |
| Stars | 505 |
| Forks | 54 |
| Language | No language |
| License | MIT |
| Created | 2019 |
| Topics | denosing, awesome, papers, deep-learning, code, pytorch, tensorflow, matlab, restoration |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [oneTaken/Awesome-Denoise](https://github.com/oneTaken/Awesome-Denoise) |

## Repository

One-paper-one-short-contribution-summary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by oneTaken

- [oneTaken/awesome\_deep\_learning\_interpretability · ★ 768 · Beta](https://repo.masters-masters.com/en/repos/oneTaken/awesome_deep_learning_interpretability)

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