SOTAVerified

Image Restoration

Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).

Source: Blind Image Restoration without Prior Knowledge

Papers

Showing 881890 of 1459 papers

TitleStatusHype
Adaptive Cross-Layer Attention for Image RestorationCode1
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging0
Selective Residual M-Net for Real Image DenoisingCode1
Half Wavelet Attention on M-Net+ for Low-Light Image EnhancementCode1
SUNet: Swin Transformer UNet for Image DenoisingCode2
Alternative design of DeepPDNet in the context of image restoration0
Task Adaptive Network for Image Restoration With Combined Degradation FactorsCode1
Ab-initio Contrast Estimation and Denoising of Cryo-EM ImagesCode1
Deep Constrained Least Squares for Blind Image Super-ResolutionCode2
Zero-Reference Image Restoration for Under-Display Camera of UAVCode1
Show:102550
← PrevPage 89 of 146Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified