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 11011110 of 1459 papers

TitleStatusHype
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products0
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentationCode0
Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer0
Adaptively Sparse Regularization for Blind Image Restoration0
Progressive Image Super-Resolution via Neural Differential Equation0
Hyperspectral Image Denoising via Multi-modal and Double-weighted Tensor Nuclear Norm0
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography0
Frequency Regularized Deep Convolutional Dictionary Learning and Application to Blind Denoising0
Data augmentation for deep learning based accelerated MRI reconstruction0
Layer Decomposition Learning Based on Gaussian Convolution Model and Residual Deblurring for Inverse Halftoning0
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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