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 14211430 of 1459 papers

TitleStatusHype
Simultaneous Fidelity and Regularization Learning for Image RestorationCode0
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG^2+ Track 3Code0
Training Image Estimators without Image Ground-TruthCode0
High-dimensional Assisted Generative Model for Color Image RestorationCode0
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial LearningCode0
Training Image Estimators without Image Ground TruthCode0
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial LearningCode0
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception ModuleCode0
Single Stage Adaptive Multi-Attention Network for Image RestorationCode0
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image RestorationCode0
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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