Toward Convolutional Blind Denoising of Real Photographs

Benchmark Model Rank Results
denoising-on-darmstadt-noise-datasetCBDNet(Syn)#3PSNR: 37.57
image-denoising-on-dndCBDNet#16PSNR (sRGB): 38.06SSIM (sRGB): 0.942
image-denoising-on-siddCBDNet#20PSNR (sRGB): 30.78SSIM (sRGB): 0.801
noise-estimation-on-siddCBDNet#5PSNR Gap: 8.30Average KL Divergence: 0.728