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 631640 of 1459 papers

TitleStatusHype
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch NetworkCode0
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG^2+ Track 3Code0
Iterative Residual CNNs for Burst Photography ApplicationsCode0
Crafting a Toolchain for Image Restoration by Deep Reinforcement LearningCode0
Attention Based Real Image RestorationCode0
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style TransferCode0
Inverse problem regularization with hierarchical variational autoencodersCode0
FLAIR: A Conditional Diffusion Framework with Applications to Face Video RestorationCode0
Intra and Inter Parser-Prompted Transformers for Effective Image RestorationCode0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
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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