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

Image Enhancement on MIT-Adobe 5k

Metric: PSNR on proRGB (higher is better)

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#Model↕PSNR on proRGB▼Extra DataPaperDate↕Code
1Retinexformer25.98NoRetinexformer: One-stage Retinex-based Transform...2023-03-12Code
2HG-MTFE25.69No--Code
3PQDynamicISP25.53NoPQDynamicISP: Dynamically Controlled Image Signa...2024-03-15-
4AdaInt25.49NoAdaInt: Learning Adaptive Intervals for 3D Looku...2022-04-29Code
5RSFNet-map25.49NoRSFNet: A White-Box Image Retouching Approach us...2023-03-15Code
6SepLUT25.47NoSepLUT: Separable Image-adaptive Lookup Tables f...2022-07-18Code
7MTFE25.46No--Code
83D LUT25.21NoLearning Image-adaptive 3D Lookup Tables for Hig...2020-09-30Code
94D LUT24.61No4D LUT: Learnable Context-Aware 4D Lookup Table ...2022-09-05-
10DIFAR (MSCA, level 1)24.2NoCURL: Neural Curve Layers for Global Image Enhan...2019-11-29Code
11DeepLPF23.93NoDeepLPF: Deep Local Parametric Filters for Image...2020-03-31Code