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 401–410 of 1459 papers

TitleStatusHype
COLA-Net: Collaborative Attention Network for Image RestorationCode1
Multi-Stage Progressive Image RestorationCode1
Exploiting Raw Images for Real-Scene Super-ResolutionCode1
Non-uniform Blur Kernel Estimation via Adaptive Basis DecompositionCode1
Learning Structral coherence Via Generative Adversarial Network for Single Image Super-ResolutionCode1
BANet: Blur-aware Attention Networks for Dynamic Scene DeblurringCode1
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional FlowsCode1
Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration From Single Noisy Volume With Sparsity ConstraintCode1
Memory-Efficient Hierarchical Neural Architecture Search for Image RestorationCode1
Time-Travel RephotographyCode1
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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