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 671680 of 1459 papers

TitleStatusHype
Blind Motion Deblurring through SinGAN Architecture0
Blind Inversion using Latent Diffusion Priors0
L0TV: A New Method for Image Restoration in the Presence of Impulse Noise0
Deep Unrolled Network for Video Super-Resolution0
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion0
A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution0
Deep Self-Dissimilarities as Powerful Visual Fingerprints0
Blind Image Restoration without Prior Knowledge0
A Novel Framework for Image-to-image Translation and Image Compression0
Deep priors for satellite image restoration with accurate uncertainties0
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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