mv-lab / AISP

AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

Date Created 2022-06-06 (2 years ago)

Commits 30 (last one 26 days ago)

Stargazers 422 (1 this week)

Watchers 15 (0 this week)

Forks 48

License unknown

Ranking

RepositoryStats indexes 633,559 repositories, of these mv-lab/AISP is ranked #108,123 (83rd percentile) for total stargazers, and #142,568 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,382/19,093.

mv-lab/AISP is also tagged with popular topics, for these it's ranked: deep-learning (#2,356/8818), computer-vision (#782/3300), image-processing (#262/1175), camera (#140/573), image-restoration (#39/161)

Other Information

mv-lab/AISP has 1 open pull request on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 17 open issues and 6 closed issues.

There have been 1 release, the latest one was published on 2024-01-26 (about a year ago) with the name Classical Image Processing Datasets.

Homepage URL: https://mv-lab.github.io/model-isp22/

All Topics

isp raw rgb cvpr ntire camera imaging denoising mobile-ai deblurring deep-learning computer-vision image-processing inverse-problems low-level-vision image-enhancement image-restoration computational-photography

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

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Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2025-03-31 @ 06:15pm, id: 500449104 / R_kgDOHdQ_UA