cuiziteng / Illumination-Adaptive-Transformer

[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Date Created 2021-12-08 (2 years ago)

Commits 311 (last one 4 months ago)

Stargazers 439 (0 this week)

Watchers 5 (0 this week)

Forks 44

License apache-2.0

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RepositoryStats indexes 534,551 repositories, of these cuiziteng/Illumination-Adaptive-Transformer is ranked #94,634 (82nd percentile) for total stargazers, and #317,223 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,370/103,470.

cuiziteng/Illumination-Adaptive-Transformer is also tagged with popular topics, for these it's ranked: pytorch (#1,422/5588), image-restoration (#30/122)

Other Information

cuiziteng/Illumination-Adaptive-Transformer has Github issues enabled, there are 15 open issues and 58 closed issues.

All Topics

bmvc pytorch low-level-vision image-enhancement image-restoration low-light-enhance transformer-models exposure-correction image-reconstruction transformer-architecture low-light-image-enhancement

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

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updated: 2024-06-29 @ 07:37am, id: 436154511 / R_kgDOGf8wjw