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 12611270 of 1459 papers

TitleStatusHype
Deep Hyperspectral Prior: Denoising, Inpainting, Super-ResolutionCode0
Bridging the Gap Between Computational Photography and Visual Recognition0
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration0
Image Super-Resolution as a Defense Against Adversarial AttacksCode0
I Can See Clearly Now : Image Restoration via De-Raining0
Total Variation with Overlapping Group Sparsity and Lp Quasinorm for Infrared Image Deblurring under Salt-and-Pepper Noise0
Residual Dense Network for Image RestorationCode0
Estimation and Restoration of Compositional Degradation Using Convolutional Neural Networks0
Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face RestorationCode0
Evolutionary Neural Architecture Search for Image Restoration0
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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