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 301310 of 1459 papers

TitleStatusHype
Basic Binary Convolution Unit for Binarized Image Restoration NetworkCode1
LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation ApproachCode1
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior SamplingCode1
Ab-initio Contrast Estimation and Denoising of Cryo-EM ImagesCode1
Learning to Deblur using Light Field Generated and Real Defocus ImagesCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Divide-and-Conquer Posterior Sampling for Denoising Diffusion PriorsCode1
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display CameraCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
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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