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 1201–1250 of 1459 papers

TitleStatusHype
Boosted GAN with Semantically Interpretable Information for Image Inpainting—0
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and BetterCode1
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image RepresentationsCode1
Space-adaptive anisotropic bivariate Laplacian regularization for image restoration—0
Probabilistic Residual Learning for Aleatoric Uncertainty in Image RestorationCode0
Generative Image Inpainting with Submanifold Alignment—0
A Constrained Convex Optimization Approach to Hyperspectral Image Restoration with Hybrid Spatio-Spectral Regularization—0
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features—0
Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms—0
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration—0
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch NetworkCode0
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration—0
An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater ImagingCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Brno Mobile OCR DatasetCode0
Self-supervised Hyperspectral Image Restoration using Separable Image Prior—0
A Review on Deep Learning in Medical Image Reconstruction—0
Space-variant TV regularization for image restoration—0
Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map—0
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
Training Image Estimators without Image Ground-TruthCode0
Degrees of Freedom Analysis of Unrolled Neural Networks—0
PMS-Net: Robust Haze Removal Based on Patch Map for Single ImagesCode0
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial LearningCode0
Segmentation-Aware Image Denoising without Knowing True SegmentationCode0
Rethinking Atmospheric Turbulence Mitigation—0
Multi-level Encoder-Decoder Architectures for Image Restoration—0
Task-GAN for Improved GAN based Image Restoration—0
Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN—0
Understanding Opportunities for Efficiency in Single-image Super Resolution Networks—0
An approach to image denoising using manifold approximation without clean images—0
Path-Restore: Learning Network Path Selection for Image RestorationCode0
Automatic Temporally Coherent Video ColorizationCode0
Deep Likelihood Network for Image Restoration with Multiple Degradation Levels—0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images—0
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps—0
A deep learning framework for quality assessment and restoration in video endoscopy—0
Lunar surface image restoration using U-net based deep neural networks—0
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial LearningCode0
CFSNet: Toward a Controllable Feature Space for Image RestorationCode0
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution—0
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Residual Non-local Attention Networks for Image RestorationCode0
Dual Residual Networks Leveraging the Potential of Paired Operations for Image RestorationCode0
Advanced Capsule Networks via Context Awareness—0
Proximal Splitting Networks for Image Restoration—0
Generalization of the Dark Channel Prior for Single Image Restoration—0
Image Restoration by Combined Order Regularization with Optimal Spatial Adaptation—0
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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