caiyuanhao1998 / Retinexformer

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
https://arxiv.org/abs/2303.06705
MIT License
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Retinexformer (https://arxiv.org/pdf/2303.06705.pdf) psnr result in table 1 is not consistent with Origin SID Paper's psnr result #34

Closed Li-wuhan closed 10 months ago

Li-wuhan commented 10 months ago

In Retinexformer (https://arxiv.org/pdf/2303.06705.pdf), table 1 shows SID method only get PSNR 16.97 on SID Sony Dataset. But from 'Learn to see in the dark ' paper (https://arxiv.org/pdf/1805.01934.pdf),SID method get PSNR 28.88 on SID Sony Dataset. Is the PSNR data (16.97) correct?

caiyuanhao1998 commented 10 months ago

Hello, the subset is not exactly the same as the original SID paper. We copy this result from SNR-Net (https://openaccess.thecvf.com/content/CVPR2022/html/Xu_SNR-Aware_Low-Light_Image_Enhancement_CVPR_2022_paper.html)