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 169 (0 this week)

Watchers 7 (0 this week)

Forks 23

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these JingyunLiang/MANet is ranked #201,697 (65th percentile) for total stargazers, and #269,279 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #36,094/116,326.

JingyunLiang/MANet is also tagged with popular topics, for these it's ranked: super-resolution (#133/320)

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

0 commits on the default branch (main) since jan '22

No recent commits to this repository

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The only known language in this repository is Python

updated: 2024-11-15 @ 09:59pm, id: 392310009 / R_kgDOF2Is-Q