# megvii-research/NAFNet

<https://repo.masters-masters.com/en/repos/megvii-research/NAFNet>

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

megvii-research/NAFNet has 3,222 stars on GitHub. Its RepoMasters card: RC tier. The state-of-the-art image restoration model without nonlinear activation…

| Field | Value |
| --- | --- |
| Owner | [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) |
| Stars | 3,222 |
| Forks | 411 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | deblur, denoise, stereo-super-resolution, eccv2022, image-deblurring, image-denoising, image-restoration, low-level-vision, pytorch |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [megvii-research/NAFNet](https://github.com/megvii-research/NAFNet) |

## Repository

The state-of-the-art image restoration model without nonlinear activation functions.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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