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 941950 of 1459 papers

TitleStatusHype
Unsupervised Image Fusion Using Deep Image Priors0
Towards General Deep Leakage in Federated LearningCode0
Identity-guided Face Generation with Multi-modal Contour Conditions0
Burst Image Restoration and EnhancementCode1
Generative Modeling with Optimal Transport MapsCode1
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation0
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration0
Residual Contrastive Learning: Unsupervised Representation Learning from Residuals0
Lottery Image Prior0
Towards Flexible Blind JPEG Artifacts RemovalCode1
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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