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 461470 of 1459 papers

TitleStatusHype
Uformer: A General U-Shaped Transformer for Image RestorationCode1
UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware PromptsCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image RestorationCode1
GenISP: Neural ISP for Low-Light Machine CognitionCode1
Forward-only Diffusion Probabilistic ModelsCode1
Improving Super-Resolution Performance using Meta-Attention LayersCode1
Comprehensive and Delicate: An Efficient Transformer for Image RestorationCode1
Masked Face Inpainting Through Residual Attention UNetCode1
Referring Flexible Image RestorationCode1
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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