JingyunLiang / MANet

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

Date Created 2021-08-03 (3 years ago)

Commits 20 (last one 3 years ago)

Stargazers 170 (0 this week)

Watchers 7 (0 this week)

Forks 23

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these JingyunLiang/MANet is ranked #203,340 (66th percentile) for total stargazers, and #271,583 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #36,626/119,431.

JingyunLiang/MANet is also tagged with popular topics, for these it's ranked: super-resolution (#132/324)

Other Information

JingyunLiang/MANet has Github issues enabled, there are 15 open issues and 9 closed issues.

There have been 1 release, the latest one was published on 2021-08-18 (3 years ago) with the name Pretrained models and supplementary.

Homepage URL: https://arxiv.org/abs/2108.05302

All Topics

iccv2021 image-sr blind-image-sr super-resolution kernel-estimation spatially-variant image-super-resolution blind-image-super-resolution

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The only known language in this repository is Python

updated: 2024-12-20 @ 05:11am, id: 392310009 / R_kgDOF2Is-Q