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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 871–880 of 1459 papers

TitleStatusHype
A Survey on Diffusion Models for Inverse Problems—0
A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation—0
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
A Total Fractional-Order Variation Model for Image Restoration with Non-homogeneous Boundary Conditions and its Numerical Solution—0
A Trained Regularization Approach Based on Born Iterative Method for Electromagnetic Imaging—0
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration—0
A Unified Conditional Framework for Diffusion-based Image Restoration—0
Autoencoder-based holographic image restoration—0
A Validation Approach to Over-parameterized Matrix and Image Recovery—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified