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 451–500 of 1459 papers

TitleStatusHype
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Fully Trainable and Interpretable Non-Local Sparse Models for Image RestorationCode1
Exploring the potential of channel interactions for image restorationCode1
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display CameraCode1
A Comparative Study of Image Restoration Networks for General Backbone Network DesignCode1
Restormer: Efficient Transformer for High-Resolution Image RestorationCode1
Exploring and Evaluating Image Restoration Potential in Dynamic ScenesCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
Plug-and-Play Image Restoration with Deep Denoiser PriorCode1
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly DetectionCode1
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted DataCode1
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object DetectionCode1
Focal Network for Image RestorationCode1
Compound Multi-branch Feature Fusion for Real Image RestorationCode1
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration ProblemsCode1
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New StrategyCode1
Comprehensive and Delicate: An Efficient Transformer for Image RestorationCode1
Selective Frequency Network for Image RestorationCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
SnowFormer: Context Interaction Transformer with Scale-awareness for Single Image DesnowingCode1
Towards Image Ambient Lighting NormalizationCode1
Restoration based Generative ModelsCode0
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image RestorationCode0
Test-Time Degradation Adaptation for Open-Set Image RestorationCode0
Residual Dense Network for Image RestorationCode0
Residual Non-local Attention Networks for Image RestorationCode0
Removal of speckle noises from ultrasound images using five different deep learning networksCode0
ERetinex: Event Camera Meets Retinex Theory for Low-Light Image EnhancementCode0
Recurrent Spike-based Image Restoration under General IlluminationCode0
Conditional Injective Flows for Bayesian ImagingCode0
Enhancing Underwater Imagery using Generative Adversarial NetworksCode0
Enhancing Image Restoration through Learning Context-Rich and Detail-Accurate FeaturesCode0
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural NetworkCode0
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 ClassificationCode0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
Energy-Calibrated VAE with Test Time Free LunchCode0
Progressive Reconstruction of Visual Structure for Image InpaintingCode0
Emphasizing Crucial Features for Efficient Image RestorationCode0
ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative TransformerCode0
Probabilistic Residual Learning for Aleatoric Uncertainty in Image RestorationCode0
PMS-Net: Robust Haze Removal Based on Patch Map for Single ImagesCode0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
Plug-and-Play gradient-based denoisers applied to CT image enhancementCode0
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image ProcessingCode0
Posterior Sampling for Image Restoration using Explicit Patch PriorsCode0
Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel EstimationCode0
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization ProblemCode0
CODE: Confident Ordinary Differential EditingCode0
Phenotype-preserving metric design for high-content image reconstruction by generative inpaintingCode0
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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