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 561570 of 1459 papers

TitleStatusHype
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image RestorationCode0
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient EstimationCode0
Multi-level Wavelet-CNN for Image RestorationCode0
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionCode0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
Moiré Photo Restoration Using Multiresolution Convolutional Neural NetworksCode0
Deep Unfolding of a Proximal Interior Point Method for Image RestorationCode0
MixNet: Efficient Global Modeling for Ultra-High-Definition Image RestorationCode0
Deep Residual Network for Joint Demosaicing and Super-ResolutionCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
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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