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 301310 of 1459 papers

TitleStatusHype
Cross Aggregation Transformer for Image RestorationCode1
Self-Supervised Image Restoration with Blurry and Noisy PairsCode1
The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution NetworksCode1
Style-Guided Shadow RemovalCode1
ReLoc: A Restoration-Assisted Framework for Robust Image Tampering LocalizationCode1
Rethinking Image Restoration for Object DetectionCode1
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog RemovalCode1
Accurate Image Restoration with Attention Retractable TransformerCode1
Basic Binary Convolution Unit for Binarized Image Restoration NetworkCode1
Masked Face Inpainting Through Residual Attention UNetCode1
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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