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 971980 of 1459 papers

TitleStatusHype
Image Inpainting using Partial Convolution0
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric0
Image Restoration: A Comparative Analysis of Image De noising Using Different Spatial Filtering Techniques0
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis0
Image Restoration and Reconstruction using Variable Splitting and Class-adapted Image Priors0
Image Restoration by Combined Order Regularization with Optimal Spatial Adaptation0
Image Restoration by Deep Projected GSURE0
Image Restoration by Estimating Frequency Distribution of Local Patches0
Progressive Image Super-Resolution via Neural Differential Equation0
Image Restoration for Remote Sensing: Overview and Toolbox0
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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