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

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Showing 301–310 of 1459 papers

TitleStatusHype
Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image RestorationCode1
HAIR: Hypernetworks-based All-in-One Image RestorationCode2
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision TasksCode1
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method—0
Wavelet based inpainting detection—0
MultiColor: Image Colorization by Learning from Multiple Color Spaces—0
Physical prior guided cooperative learning framework for joint turbulence degradation estimation and infrared video restoration—0
Multi-weather Cross-view Geo-localization Using Denoising Diffusion Models—0
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration—0
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified