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 551600 of 1459 papers

TitleStatusHype
Patch-Ordering as a Regularization for Inverse Problems in Image ProcessingCode0
On learning optimized reaction diffusion processes for effective image restorationCode0
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient EstimationCode0
Pathology Image Restoration via Mixture of PromptsCode0
Path-Restore: Learning Network Path Selection for Image RestorationCode0
Deep Unfolding of a Proximal Interior Point Method for Image RestorationCode0
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
Neural Nearest Neighbors NetworksCode0
Deep Residual Network for Joint Demosaicing and Super-ResolutionCode0
Neural Architecture Search for Deep Image PriorCode0
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image ReconstructionCode0
Deep Network Interpolation for Continuous Imagery Effect TransitionCode0
Deep Mean-Shift Priors for Image RestorationCode0
Multiscale Coarse-to-Fine Guided Screenshot DemoiréingCode0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image RestorationCode0
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionCode0
Deep Learning-Based Channel EstimationCode0
Multi-level Wavelet-CNN for Image RestorationCode0
Deep Image Restoration For Image Anti-ForensicsCode0
An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater ImagingCode0
Deep Hyperspectral Prior: Denoising, Inpainting, Super-ResolutionCode0
Moiré Photo Restoration Using Multiresolution Convolutional Neural NetworksCode0
Deep Graph Laplacian Regularization for Robust Denoising of Real ImagesCode0
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold SimplificationCode0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Non-Local Recurrent Network for Image RestorationCode0
MixNet: Efficient Global Modeling for Ultra-High-Definition Image RestorationCode0
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GANCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
Benchmarking Ultra-High-Definition Image Reflection RemovalCode0
MetaUE: Model-based Meta-learning for Underwater Image EnhancementCode0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
Bayesian Image Restoration for Poisson Corrupted Image using a Latent Variational Method with Gaussian MRFCode0
A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels EstimationCode0
MemNet: A Persistent Memory Network for Image RestorationCode0
Modular Degradation Simulation and Restoration for Under-Display CameraCode0
Gyroscope-Assisted Motion Deblurring NetworkCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
Group-based Sparse Representation for Image RestorationCode0
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
Medium Transmission Map Matters for Learning to Restore Real-World Underwater ImagesCode0
Loss Functions for Neural Networks for Image ProcessingCode0
Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse WeatherCode0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
Global-Local Stepwise Generative Network for Ultra High-Resolution Image RestorationCode0
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image RestorationCode0
Learning Discriminative Shrinkage Deep Networks for Image DeconvolutionCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
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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