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 7180 of 1459 papers

TitleStatusHype
Denoising as Adaptation: Noise-Space Domain Adaptation for Image RestorationCode2
Revitalizing Convolutional Network for Image RestorationCode2
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided TransformerCode2
Correlation Matching Transformation Transformers for UHD Image RestorationCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
Efficient Visual State Space Model for Image DeblurringCode2
Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image RestorationCode2
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image DenoisingCode2
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-ResolutionCode2
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
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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