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 361370 of 1459 papers

TitleStatusHype
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
One-Step Effective Diffusion Network for Real-World Image Super-ResolutionCode4
LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation ApproachCode1
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse ProblemsCode1
Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration0
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
Diffusion-based image inpainting with internal learningCode0
Correlation Matching Transformation Transformers for UHD Image RestorationCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
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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