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 551575 of 1459 papers

TitleStatusHype
Neural Architecture Search for Deep Image PriorCode0
Denoising Prior Driven Deep Neural Network for Image RestorationCode0
Neural Nearest Neighbors NetworksCode0
Non-Local Recurrent Network for Image RestorationCode0
Dequantization and Color Transfer with Diffusion ModelsCode0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient EstimationCode0
Multiscale Coarse-to-Fine Guided Screenshot DemoiréingCode0
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image RestorationCode0
Multi-level Wavelet-CNN for Image RestorationCode0
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image ReconstructionCode0
Deep Unfolding of a Proximal Interior Point Method for Image RestorationCode0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Moiré Photo Restoration Using Multiresolution Convolutional Neural NetworksCode0
Deep Residual Network for Joint Demosaicing and Super-ResolutionCode0
Modular Degradation Simulation and Restoration for Under-Display CameraCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
Deep Network Interpolation for Continuous Imagery Effect TransitionCode0
Deep Mean-Shift Priors for Image RestorationCode0
MixNet: Efficient Global Modeling for Ultra-High-Definition Image RestorationCode0
MemNet: A Persistent Memory Network for Image RestorationCode0
Medium Transmission Map Matters for Learning to Restore Real-World Underwater ImagesCode0
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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