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
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentationCode0
SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse ProblemsCode0
Gyroscope-Assisted Motion Deblurring NetworkCode0
Attention Based Real Image RestorationCode0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
CODE: Confident Ordinary Differential EditingCode0
Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera ImagesCode0
Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized ConstraintsCode0
Dense xUnit NetworksCode0
Denoising Prior Driven Deep Neural Network for Image RestorationCode0
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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