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 14311440 of 1459 papers

TitleStatusHype
Recent Progress in Image Deblurring0
Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging0
Image Inpainting Using Directional Tensor Product Complex Tight Framelets0
Solving QVIs for Image Restoration with Adaptive Constraint Sets0
Adaptive Mesh Representation and Restoration of Biomedical Images0
Truncated Nuclear Norm Minimization for Image Restoration Based On Iterative Support Detection0
Shrinkage Fields for Effective Image Restoration0
Multi-Shot Imaging: Joint Alignment, Deblurring and Resolution-Enhancement0
Covariance Trees for 2D and 3D Processing0
Deblurring Text Images via L0-Regularized Intensity and Gradient Prior0
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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