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 13111320 of 1459 papers

TitleStatusHype
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral ImagesCode0
On learning optimized reaction diffusion processes for effective image restorationCode0
Test-Time Degradation Adaptation for Open-Set Image RestorationCode0
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiserCode0
Non-Local Recurrent Network for Image RestorationCode0
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
A regularized deep matrix factorized model of matrix completion for image restorationCode0
Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep LearningCode0
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt GuidanceCode0
Neural Nearest Neighbors NetworksCode0
Show:102550
← PrevPage 132 of 146Next →

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