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 1181–1190 of 1459 papers

TitleStatusHype
Image Restoration Using Joint Statistical Modeling in Space-Transform Domain—0
Image restoration using sparse approximations of spatially varying blur operators in the wavelet domain—0
Image Restoration using Total Variation Regularized Deep Image Prior—0
Image Restoration using Total Variation with Overlapping Group Sparsity—0
Image Restoration with Locally Selected Class-Adapted Models—0
Image Restoration with Point Spread Function Regularization and Active Learning—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation—0
Improving Cross-modal Alignment for Text-Guided Image Inpainting—0
Improving Image Restoration with Soft-Rounding—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