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 111120 of 1459 papers

TitleStatusHype
Pathology Image Restoration via Mixture of PromptsCode0
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences0
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion0
Hybrid Agents for Image Restoration0
Multi-Agent Image Restoration0
Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather RemovalCode1
MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image RestorationCode1
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution0
Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios0
ERetinex: Event Camera Meets Retinex Theory for Low-Light Image EnhancementCode0
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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