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 13011350 of 1459 papers

TitleStatusHype
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Deep Hyperspectral Prior: Denoising, Inpainting, Super-ResolutionCode0
Deep Graph Laplacian Regularization for Robust Denoising of Real ImagesCode0
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
Residual Dense Network for Image RestorationCode0
Residual Non-local Attention Networks for Image RestorationCode0
Exploring Richer and More Accurate Information via Frequency Selection for Image RestorationCode0
Restoration based Generative ModelsCode0
Benchmarking Ultra-High-Definition Image Reflection RemovalCode0
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary SearchCode0
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral ImagesCode0
On learning optimized reaction diffusion processes for effective image restorationCode0
Test-Time Degradation Adaptation for Open-Set Image RestorationCode0
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiserCode0
Non-Local Recurrent Network for Image RestorationCode0
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
A regularized deep matrix factorized model of matrix completion for image restorationCode0
Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep LearningCode0
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt GuidanceCode0
Neural Nearest Neighbors NetworksCode0
ERetinex: Event Camera Meets Retinex Theory for Low-Light Image EnhancementCode0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
Restoring Extremely Dark Images in Real TimeCode0
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
Neural Architecture Search for Deep Image PriorCode0
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image ReconstructionCode0
DARK: Denoising, Amplification, Restoration KitCode0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Dequantization and Color Transfer with Diffusion ModelsCode0
Multiscale Coarse-to-Fine Guided Screenshot DemoiréingCode0
VibrantLeaves: A principled parametric image generator for training deep restoration modelsCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Multi-level Wavelet-CNN for Image RestorationCode0
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image RestorationCode0
Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse HalftoningCode0
Enhancing Underwater Imagery using Generative Adversarial NetworksCode0
Enhancing Image Restoration through Learning Context-Rich and Detail-Accurate FeaturesCode0
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionCode0
Moiré Photo Restoration Using Multiresolution Convolutional Neural NetworksCode0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural NetworkCode0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
Energy-Calibrated VAE with Test Time Free LunchCode0
The Perception-Distortion TradeoffCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Modular Degradation Simulation and Restoration for Under-Display CameraCode0
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper GranularityCode0
MixNet: Efficient Global Modeling for Ultra-High-Definition Image RestorationCode0
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