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 1201–1225 of 1459 papers

TitleStatusHype
To Recurse or not to Recurse,a Low Dose CT Study—0
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion—0
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence—0
Progressive Reconstruction of Visual Structure for Image InpaintingCode0
ERL-Net: Entangled Representation Learning for Single Image De-Raining—0
Self-Guided Network for Fast Image DenoisingCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—0
Removing the Representation Error of GAN Image Priors Using the Deep Decoder—0
DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme—0
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors—0
Boosted GAN with Semantically Interpretable Information for Image Inpainting—0
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
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
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration—0
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch NetworkCode0
An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater ImagingCode0
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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