# SHI-Labs/Pyramid-Attention-Networks

<https://repo.masters-masters.com/en/repos/SHI-Labs/Pyramid-Attention-Networks>

[Home](https://repo.masters-masters.com/en) › [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) › [Pyramid-Attention-Networks](https://repo.masters-masters.com/en/repos/SHI-Labs/Pyramid-Attention-Networks)

SHI-Labs/Pyramid-Attention-Networks has 407 stars on GitHub. Its RepoMasters card: Alpha tier. \[IJCV\] Pyramid Attention Networks for Image Restoration: new…

| Field | Value |
| --- | --- |
| Owner | [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) |
| Stars | 407 |
| Forks | 52 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [SHI-Labs/Pyramid-Attention-Networks](https://github.com/SHI-Labs/Pyramid-Attention-Networks) |

## Repository

\[IJCV\] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution

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.