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 791800 of 1459 papers

TitleStatusHype
Deeply Aggregated Alternating Minimization for Image Restoration0
Deep Networks for Image Super-Resolution with Sparse Prior0
Deep priors for satellite image restoration with accurate uncertainties0
Deep Self-Dissimilarities as Powerful Visual Fingerprints0
Deep Unrolled Network for Video Super-Resolution0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis0
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging0
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution0
Degrees of Freedom Analysis of Unrolled Neural Networks0
Rethinking deinterlacing for early interlaced videos0
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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