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 251260 of 1459 papers

TitleStatusHype
Deep Image PriorCode1
Continuous Representation Methods, Theories, and Applications: An Overview and PerspectivesCode1
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable BankCode1
Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionCode1
Image Generation With Neural Cellular AutomatasCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Image Restoration by Iterative Denoising and Backward ProjectionsCode1
Deep Generalized Unfolding Networks for Image RestorationCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
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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