mv-lab / AISP

AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM Challenges

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

Commits 29 (last one 9 months ago)

Stargazers 373 (1 this week)

Watchers 16 (0 this week)

Forks 42

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these mv-lab/AISP is ranked #113,948 (81st percentile) for total stargazers, and #137,978 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,486/17,543.

mv-lab/AISP is also tagged with popular topics, for these it's ranked: deep-learning (#2,490/8512), computer-vision (#838/3130), image-processing (#275/1119), image-restoration (#39/152)

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 3 closed issues.

There have been 1 release, the latest one was published on 2024-01-26 (11 months ago) with the name Classical Image Processing Datasets.

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

All Topics

aim isp ntire cvpr2022 eccv2022 denoising mobile-ai raw-image deblurring reversed-isp 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

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

Yearly Commits

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Issue History

Languages

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

updated: 2024-12-22 @ 02:19am, id: 500449104 / R_kgDOHdQ_UA