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 10611070 of 1459 papers

TitleStatusHype
HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space0
Low Rank Quaternion Matrix Recovery via Logarithmic Approximation0
Image Restoration for Remote Sensing: Overview and Toolbox0
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis0
Controllable Image Restoration for Under-Display Camera in Smartphones0
Restoring Extremely Dark Images in Real TimeCode0
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model0
High-Quality Stereo Image Restoration From Double Refraction0
Learning a Non-Blind Deblurring Network for Night Blurry Images0
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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