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 861870 of 1459 papers

TitleStatusHype
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral ReconstructionCode5
Conditional Injective Flows for Bayesian ImagingCode0
Semi-supervised atmospheric component learning in low-light image problem0
Residual Swin Transformer Channel Attention Network for Image Demosaicing0
Simple Baselines for Image RestorationCode4
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging0
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems0
Extremely Low-light Image Enhancement with Scene Text RestorationCode0
Learning to Deblur using Light Field Generated and Real Defocus ImagesCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
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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