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 911920 of 1459 papers

TitleStatusHype
Bridging the Gap Between Computational Photography and Visual Recognition0
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild0
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks0
Can fully convolutional networks perform well for general image restoration problems?0
Cascades of Regression Tree Fields for Image Restoration0
CasSR: Activating Image Power for Real-World Image Super-Resolution0
Cat-AIR: Content and Task-Aware All-in-One Image Restoration0
CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image0
Circular Image Deturbulence using Quasi-conformal Geometry0
Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement0
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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