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Datasets/LOL

LOL

LOw-Light dataset

ImagesUnknownIntroduced 2018-01-01

The LOL dataset is composed of 500 low-light and normal-light image pairs and divided into 485 training pairs and 15 testing pairs. The low-light images contain noise produced during the photo capture process. Most of the images are indoor scenes. All the images have a resolution of 400×600.

Source: Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks Image Source: https://daooshee.github.io/BMVC2018website/

Benchmarks

10-shot image generation/Average PSNR (dB)Image Enhancement/Average PSNRImage Enhancement/LPIPSImage Enhancement/SSIMImage Enhancement/FLOPS (G)Image Enhancement/Params (M)Image Enhancement/SSIM (sRGB)Image Enhancement/Number of paramsImage Enhancement/BSQ-rate over MS-SSIMImage Enhancement/FIDImage Restoration/Average PSNR (dB)Unified Image Restoration/Average PSNR (dB)

Related Benchmarks

LOL-Blur/1 Image, 2*2 Stitchi/Average PSNRLOL-Blur/1 Image, 2*2 Stitchi/LPIPSLOL-Blur/1 Image, 2*2 Stitchi/SSIMLOL-Blur/10-shot image generation/Average PSNRLOL-Blur/10-shot image generation/LPIPSLOL-Blur/10-shot image generation/SSIMLOL-Blur/16k/Average PSNRLOL-Blur/16k/LPIPSLOL-Blur/16k/SSIMLOL-Blur/Image Deblurring/Average PSNRLOL-Blur/Image Deblurring/LPIPSLOL-Blur/Image Deblurring/SSIMLOL-v2/Image Enhancement/Average PSNRLOL-v2/Image Enhancement/LPIPSLOL-v2/Image Enhancement/SSIMLOL-v2-synthetic/Image Enhancement/LPIPSLOL-v2-synthetic/Image Enhancement/PSNRLOL-v2-synthetic/Image Enhancement/SSIMLOLv2/Image Enhancement/Average PSNRLOLv2/Image Enhancement/LPIPSLOLv2/Image Enhancement/SSIMLOLv2-synthetic/Image Enhancement/Average PSNRLOLv2-synthetic/Image Enhancement/LPIPSLOLv2-synthetic/Image Enhancement/SSIM

Statistics

Papers
257
Benchmarks
12

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Tasks

10-shot image generationImage EnhancementImage RestorationLow-Light Image EnhancementUnified Image Restoration