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 261270 of 1459 papers

TitleStatusHype
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image RestorationCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Improving Image Restoration through Removing Degradations in Textual RepresentationsCode1
Basic Binary Convolution Unit for Binarized Image Restoration NetworkCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
BANet: Blur-aware Attention Networks for Dynamic Scene DeblurringCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration NetworkCode1
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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