# megvii-research/DCLS-SR

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

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

megvii-research/DCLS-SR has 246 stars on GitHub. Its RepoMasters card: Prototype tier. Official PyTorch implementation of the paper "Deep Constrained Least…

| Field | Value |
| --- | --- |
| Owner | [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) |
| Stars | 246 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | blind-super-resolution, deblurring, pytorch, deep-learning, super-resolution |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [megvii-research/DCLS-SR](https://github.com/megvii-research/DCLS-SR) |

## Repository

Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

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.