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
Recurrent Inference Machines for Solving Inverse ProblemsCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
MOFA: A Model Simplification Roadmap for Image Restoration on Mobile DevicesCode1
Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer AggregationCode1
NAS-DIP: Learning Deep Image Prior with Neural Architecture SearchCode1
MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image InpaintingCode1
Mixed Hierarchy Network for Image RestorationCode1
Diffusion Posterior Proximal Sampling for Image RestorationCode1
Boosting All-in-One Image Restoration via Self-Improved Privilege LearningCode1
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
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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