Residual Dense Network for Image Restoration

Benchmark Model Rank Results
color-image-denoising-on-kodak24-sigma50Residual Dense Network +#5PSNR: 29.7
color-image-denoising-on-urban100-sigma50Residual Dense Network +#8PSNR: 29.38
grayscale-image-denoising-on-bsd68-sigma50Residual Dense Network +#6PSNR: 26.43
grayscale-image-denoising-on-urban100-sigma50Residual Dense Network +#6PSNR: 27.47
jpeg-artifact-correction-on-classic5-qualityResidual Dense Network +#2PSNR: 30.03SSIM: 0.8194
jpeg-artifact-correction-on-classic5-quality-1Residual Dense Network +#2PSNR: 32.19SSIM: 0.8704
jpeg-artifact-correction-on-classic5-quality-2Residual Dense Network +#2PSNR: 33.46SSIM: 0.8932
jpeg-artifact-correction-on-classic5-quality-3Residual Dense Network +#2PSNR: 34.29SSIM: 0.9063
jpeg-artifact-correction-on-live1-quality-10-1Residual Dense Network +#2PSNR: 29.7SSIM: 0.8252
jpeg-artifact-correction-on-live1-quality-20-1Residual Dense Network +#2PSNR: 32.1SSIM: 0.8886
jpeg-artifact-correction-on-live1-quality-30-1Residual Dense Network +#1PSNR: 33.54SSIM: 0.9156
jpeg-artifact-correction-on-live1-quality-40Residual Dense Network +#1PSNR: 34.54SSIM: 0.9304