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 371380 of 1459 papers

TitleStatusHype
Sharing Key Semantics in Transformer Makes Efficient Image RestorationCode0
Blind Image Restoration via Fast Diffusion InversionCode3
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models0
Efficient Degradation-aware Any Image Restoration0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving0
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees0
Efficient Visual State Space Model for Image DeblurringCode2
Perceptual Fairness in Image Restoration0
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical ImageCode1
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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