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 351360 of 1459 papers

TitleStatusHype
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Accelerating Multiframe Blind Deconvolution via Deep LearningCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
Ab-initio Contrast Estimation and Denoising of Cryo-EM ImagesCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
Cross Aggregation Transformer for Image RestorationCode1
Attentive Fine-Grained Structured Sparsity for Image RestorationCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Forward-only Diffusion Probabilistic ModelsCode1
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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