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 651660 of 1459 papers

TitleStatusHype
Image Reconstruction via Deep Image Prior SubspacesCode0
Deep Image Restoration For Image Anti-ForensicsCode0
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined DistortionsCode0
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary LearningCode0
Convergent Primal-Dual Plug-and-Play Image Restoration: A General Algorithm and ApplicationsCode0
Image Super-Resolution as a Defense Against Adversarial AttacksCode0
Implicit Image-to-Image Schrodinger Bridge for Image RestorationCode0
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality AssessmentCode0
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse ProblemsCode0
Image Restoration Using Deep Regulated Convolutional NetworksCode0
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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