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SotA/Computer Vision/Image Enhancement/MIT-Adobe 5k

Image Enhancement on MIT-Adobe 5k

Metric: SSIM on proRGB (higher is better)

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#Model↕SSIM on proRGB▼Extra DataPaperDate↕Code
1Retinexformer0.957NoRetinexformer: One-stage Retinex-based Transform...2023-03-12Code
2PQDynamicISP0.928NoPQDynamicISP: Dynamically Controlled Image Signa...2024-03-15-
3AdaInt0.926NoAdaInt: Learning Adaptive Intervals for 3D Looku...2022-04-29Code
4RSFNet-map0.924NoRSFNet: A White-Box Image Retouching Approach us...2023-03-15Code
53D LUT0.922NoLearning Image-adaptive 3D Lookup Tables for Hig...2020-09-30Code
6SepLUT0.921NoSepLUT: Separable Image-adaptive Lookup Tables f...2022-07-18Code
74D LUT0.918No4D LUT: Learnable Context-Aware 4D Lookup Table ...2022-09-05-
8DeepLPF0.903NoDeepLPF: Deep Local Parametric Filters for Image...2020-03-31Code
9DIFAR (MSCA, level 1)0.88NoCURL: Neural Curve Layers for Global Image Enhan...2019-11-29Code