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 11411150 of 1459 papers

TitleStatusHype
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflowCode1
Real-world Person Re-Identification via Degradation Invariance Learning0
Deblurring using Analysis-Synthesis Networks Pair0
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New StrategyCode1
Image Demoireing with Learnable Bandpass FiltersCode1
Exploiting Deep Generative Prior for Versatile Image Restoration and ManipulationCode1
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems0
Learning Invariant Representation for Unsupervised Image RestorationCode1
Blur, Noise, and Compression Robust Generative Adversarial Networks0
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
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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