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 701710 of 1459 papers

TitleStatusHype
Depth Estimation and Image Restoration by Deep Learning from Defocused Images0
Restoration based Generative ModelsCode0
Image Reconstruction via Deep Image Prior SubspacesCode0
Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scansCode1
Mixed Hierarchy Network for Image RestorationCode1
Robust Unsupervised StyleGAN Image RestorationCode1
I^2SB: Image-to-Image Schrödinger BridgeCode2
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Energy-Inspired Self-Supervised Pretraining for Vision Models0
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiserCode0
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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