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 901–910 of 1459 papers

TitleStatusHype
Fast and High-Quality Image Denoising via Malleable Convolutions—0
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional NetworksCode1
XYDeblur: Divide and Conquer for Single Image DeblurringCode1
GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation—0
KNN Local Attention for Image Restoration—0
All-in-One Image Restoration for Unknown CorruptionCode2
Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin DynamicsCode1
Image Restoration using Feature-guidance—0
A Trained Regularization Approach Based on Born Iterative Method for Electromagnetic Imaging—0
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares—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