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

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Showing 951–1000 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
Underwater Image Restoration via Contrastive Learning and a Real-world DatasetCode1
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model—0
Controllable Image Restoration for Under-Display Camera in Smartphones—0
Restoring Extremely Dark Images in Real TimeCode0
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
High-Quality Stereo Image Restoration From Double Refraction—0
Learning a Non-Blind Deblurring Network for Night Blurry Images—0
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Patch-Based Image Restoration using Expectation Propagation—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Removal of speckle noises from ultrasound images using five different deep learning networksCode0
Wavelength-based Attributed Deep Neural Network for Underwater Image RestorationCode1
Uformer: A General U-Shaped Transformer for Image RestorationCode1
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and ResultsCode1
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution—0
Self-Organized Residual Blocks for Image Super-Resolution—0
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
HINet: Half Instance Normalization Network for Image RestorationCode1
Joint Face Image Restoration and Frontalization for Recognition—0
Operation-wise Attention Network for Tampering Localization Fusion—0
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Toward Interactive Modulation for Photo-Realistic Image Restoration—0
NTIRE 2021 Challenge on Perceptual Image Quality Assessment—0
(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality AssessmentCode1
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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