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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 1459 papers

TitleStatusHype
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Moiré Photo Restoration Using Multiresolution Convolutional Neural NetworksCode0
Gyroscope-Assisted Motion Deblurring NetworkCode0
Modular Degradation Simulation and Restoration for Under-Display CameraCode0
MixNet: Efficient Global Modeling for Ultra-High-Definition Image RestorationCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
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
MemNet: A Persistent Memory Network for Image RestorationCode0
MetaUE: Model-based Meta-learning for Underwater Image EnhancementCode0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse WeatherCode0
Global-Local Stepwise Generative Network for Ultra High-Resolution Image RestorationCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image RestorationCode0
DARK: Denoising, Amplification, Restoration KitCode0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
Generalizing to Out-of-Sample Degradations via Model ReprogrammingCode0
Automatic Temporally Coherent Video ColorizationCode0
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
Learning Discriminative Shrinkage Deep Networks for Image DeconvolutionCode0
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image ProcessingCode0
Full-resolution MLPs Empower Medical Dense PredictionCode0
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy DataCode0
FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching ReversalCode0
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging ProblemsCode0
Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and DesnowingCode0
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image RestorationCode0
Learning Deep CNN Denoiser Prior for Image RestorationCode0
Kernel-aware Burst Blind Super-ResolutionCode0
Latent Convolutional ModelsCode0
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG^2+ Track 3Code0
Loss Functions for Neural Networks for Image ProcessingCode0
Crafting a Toolchain for Image Restoration by Deep Reinforcement LearningCode0
An Educated Warm Start For Deep Image Prior-Based Micro CT ReconstructionCode0
Attention Based Real Image RestorationCode0
FLAIR: A Conditional Diffusion Framework with Applications to Face Video RestorationCode0
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style TransferCode0
Iterative Residual CNNs for Burst Photography ApplicationsCode0
Intra and Inter Parser-Prompted Transformers for Effective Image RestorationCode0
Inverse problem regularization with hierarchical variational autoencodersCode0
Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image DenoisingCode0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
Image Super-Resolution as a Defense Against Adversarial AttacksCode0
Implicit Image-to-Image Schrodinger Bridge for Image RestorationCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified