Residual Dense Network for Image Restoration

25 Dec 2018Yulun ZhangYapeng TianYu KongBineng ZhongYun Fu

Convolutional neural network has recently achieved great success for image restoration (IR) and also offered hierarchical features. However, most deep CNN based IR models do not make full use of the hierarchical features from the original low-quality images, thereby achieving relatively-low performance... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Grayscale Image Denoising BSD68 sigma10 Residual Dense Network + PSNR 34.01 # 1
Color Image Denoising BSD68 sigma10 Residual Dense Network + PSNR 36.49 # 1
Grayscale Image Denoising BSD68 sigma30 Residual Dense Network + PSNR 28.58 # 1
Color Image Denoising BSD68 sigma30 Residual Dense Network + PSNR 30.7 # 1
Grayscale Image Denoising BSD68 sigma50 Residual Dense Network + PSNR 26.43 # 3
Color Image Denoising BSD68 sigma50 Residual Dense Network + PSNR 28.34 # 1
Color Image Denoising BSD68 sigma70 Residual Dense Network + PSNR 26.88 # 1
Grayscale Image Denoising BSD68 sigma70 Residual Dense Network + PSNR 25.12 # 2
Image Compression Artifact Reduction Classic5 Quality 10 Residual Dense Network + PSNR 30.03 # 1
SSIM 0.8194 # 1
Image Compression Artifact Reduction Classic5 Quality 20 Residual Dense Network + PSNR 32.19 # 1
SSIM 0.8704 # 1
Image Compression Artifact Reduction Classic5 Quality 30 Residual Dense Network + PSNR 33.46 # 1
SSIM 0.8932 # 1
Image Compression Artifact Reduction Classic5 Quality 40 Residual Dense Network + PSNR 34.29 # 1
SSIM 0.9063 # 1
Color Image Denoising Kodak24 sigma10 Residual Dense Network + PSNR 37.33 # 1
Grayscale Image Denoising Kodak24 sigma10 Residual Dense Network + PSNR 35.19 # 1
Grayscale Image Denoising Kodak24 sigma30 Residual Dense Network + PSNR 30.02 # 1
Color Image Denoising Kodak24 sigma30 Residual Dense Network + PSNR 31.98 # 3
Color Image Denoising Kodak24 sigma50 Residual Dense Network + PSNR 29.7 # 3
Grayscale Image Denoising Kodak24 sigma50 Residual Dense Network + PSNR 27.88 # 1
Color Image Denoising Kodak24 sigma70 Residual Dense Network + PSNR 28.24 # 3
Grayscale Image Denoising Kodak24 sigma70 Residual Dense Network + PSNR 26.57 # 1
Image Compression Artifact Reduction LIVE1 Quality 10 Residual Dense Network + PSNR 29.7 # 1
SSIM 0.8252 # 1
Image Compression Artifact Reduction LIVE1 Quality 20 Residual Dense Network + PSNR 32.1 # 1
SSIM 0.8886 # 1
Image Compression Artifact Reduction LIVE1 Quality 30 Residual Dense Network + PSNR 33.54 # 1
SSIM 0.9156 # 1
Image Compression Artifact Reduction LIVE1 Quality 40 Residual Dense Network + PSNR 34.54 # 1
SSIM 0.9304 # 1
Color Image Denoising Urban100 sigma10 Residual Dense Network + PSNR 36.75 # 1
Grayscale Image Denoising Urban100 sigma10 Residual Dense Network + PSNR 35.45 # 1
Color Image Denoising Urban100 sigma30 Residual Dense Network + PSNR 31.78 # 1
Grayscale Image Denoising Urban100 sigma30 Residual Dense Network + PSNR 30.08 # 1
Grayscale Image Denoising Urban100 sigma50 Residual Dense Network + PSNR 27.47 # 2
Color Image Denoising Urban100 sigma50 Residual Dense Network + PSNR 29.38 # 1
Color Image Denoising Urban100 sigma70 Residual Dense Network + PSNR 27.74 # 1
Grayscale Image Denoising Urban100 sigma70 Residual Dense Network + PSNR 25.71 # 1