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 9911000 of 1459 papers

TitleStatusHype
Image Restoration using Total Variation Regularized Deep Image Prior0
Image Restoration using Total Variation with Overlapping Group Sparsity0
Image Restoration with Locally Selected Class-Adapted Models0
Image Restoration with Point Spread Function Regularization and Active Learning0
Image Super-Resolution with Guarantees via Conformalized Generative Models0
Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation0
Improving Cross-modal Alignment for Text-Guided Image Inpainting0
Improving Image Restoration with Soft-Rounding0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context0
Impulsive noise removal from color images with morphological filtering0
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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