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 951–975 of 1459 papers

TitleStatusHype
Dynamic Attentive Graph Learning for Image RestorationCode1
ReconfigISP: Reconfigurable Camera Image Processing PipelineCode1
Unfolding Taylor's Approximations for Image Restoration—0
Unpaired Deep Image Deraining Using Dual Contrastive Learning—0
SwinIR: Image Restoration Using Swin TransformerCode3
Image Inpainting using Partial Convolution—0
Spatially-Adaptive Image Restoration using Distortion-Guided NetworksCode0
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality AssessmentCode1
High-dimensional Assisted Generative Model for Color Image RestorationCode0
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition—0
Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion—0
Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography—0
Rain Removal and Illumination Enhancement Done in One Go—0
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration—0
Multitask Identity-Aware Image Steganography via Minimax Optimization—0
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery—0
Image restoration quality assessment based on regional differential information entropy—0
HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
Low Rank Quaternion Matrix Recovery via Logarithmic Approximation—0
Image Restoration for Remote Sensing: Overview and Toolbox—0
Data augmentation for deep learning based accelerated MRI reconstruction with limited dataCode1
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical ModelCode1
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis—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