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 3140 of 1459 papers

TitleStatusHype
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionCode3
Instruct-IPT: All-in-One Image Processing Transformer via Weight ModulationCode3
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseCode3
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Blind Image Restoration via Fast Diffusion InversionCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
Bringing Old Photos Back to LifeCode3
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image RestorationCode3
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language InstructionsCode3
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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