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 1101–1150 of 1459 papers

TitleStatusHype
Lightweight Modules for Efficient Deep Learning based Image RestorationCode1
Blur Invariant Kernel-Adaptive Network for Single Image Blind deblurring—0
Blind Inverse Gamma Correction with Maximized Differential EntropyCode1
A deep primal-dual proximal network for image restoration—0
Low-light Image Restoration with Short- and Long-exposure Raw Pairs—0
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed ImagesCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network ArchitecturesCode1
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategyCode0
SAR2SAR: a semi-supervised despeckling algorithm for SAR imagesCode1
Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image RestorationCode1
Concatenated Attention Neural Network for Image Restoration—0
Structured and Localized Image Restoration—0
Multi-Objective CNN Based Algorithm for SAR Despeckling—0
What's in the Image? Explorable Decoding of Compressed Images—0
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
Neural Sparse Representation for Image RestorationCode1
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters—0
All in One Bad Weather Removal Using Architectural Search—0
Joint Demosaicing and Denoising With Self GuidanceCode1
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring—0
Distilling Image Dehazing With Heterogeneous Task ImitationCode0
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training—0
Disparity-Aware Domain Adaptation in Stereo Image Restoration—0
Image Restoration from Parametric Transformations using Generative Models—0
The Power of Triply Complementary Priors for Image Compressive Sensing—0
PMHLD: Patch Map Based Hybrid Learning DehazeNet for Single Image Haze RemovalCode1
HiFaceGAN: Face Renovation via Collaborative Suppression and ReplenishmentCode1
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation—0
NTIRE 2020 Challenge on Image Demoireing: Methods and Results—0
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Neural Differential Equations for Single Image Super-resolution—0
Unsupervised Lesion Detection via Image Restoration with a Normative Prior—0
Pyramid Attention Networks for Image RestorationCode1
Attention Based Real Image RestorationCode0
Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms—0
Microscopy Image Restoration using Deep Learning on W2SCode1
Distributed Learning and Inference with Compressed Images—0
Bringing Old Photos Back to LifeCode3
Moire Image Restoration using Multi Level Hyper Vision NetCode0
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflowCode1
Real-world Person Re-Identification via Degradation Invariance Learning—0
Deblurring using Analysis-Synthesis Networks Pair—0
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New StrategyCode1
Image Demoireing with Learnable Bandpass FiltersCode1
Exploiting Deep Generative Prior for Versatile Image Restoration and ManipulationCode1
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems—0
Learning Invariant Representation for Unsupervised Image RestorationCode1
Blur, Noise, and Compression Robust Generative Adversarial Networks—0
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
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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