# JingyunLiang/MANet

<https://repo.masters-masters.com/en/repos/JingyunLiang/MANet>

[Home](https://repo.masters-masters.com/en) › [JingyunLiang](https://repo.masters-masters.com/en/owners/JingyunLiang) › [MANet](https://repo.masters-masters.com/en/repos/JingyunLiang/MANet)

JingyunLiang/MANet has 177 stars on GitHub. Its RepoMasters card: Prototype tier. Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel…

| Field | Value |
| --- | --- |
| Owner | [JingyunLiang](https://repo.masters-masters.com/en/owners/JingyunLiang) |
| Stars | 177 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | super-resolution, iccv2021, kernel-estimation, blind-image-super-resolution, image-sr, image-super-resolution, blind-image-sr, spatially-variant |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JingyunLiang/MANet](https://github.com/JingyunLiang/MANet) |

## Repository

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

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.