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 311320 of 1459 papers

TitleStatusHype
A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse ArtifactsCode1
Deep Blind Video Super-resolutionCode1
Learning Degradation Representations for Image DeblurringCode1
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality AssessmentCode1
Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image RestorationCode1
Learning Distortion Invariant Representation for Image Restoration from A Causality PerspectiveCode1
Dynamic Contrastive Knowledge Distillation for Efficient Image RestorationCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
Ab-initio Contrast Estimation and Denoising of Cryo-EM ImagesCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
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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