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 851–900 of 1459 papers

TitleStatusHype
DRT: A Lightweight Single Image Deraining Recursive TransformerCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
Image Restoration in Non-Linear Filtering Domain using MDB approach—0
Adaptive Non-linear Filtering Technique for Image Restoration—0
Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network—0
Learning Enriched Features for Fast Image Restoration and Enhancement—0
NAFSSR: Stereo Image Super-Resolution Using NAFNetCode4
Towards Efficient Single Image Dehazing and Desnowing—0
A comparison of different atmospheric turbulence simulation methods for image restoration—0
Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning—0
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral ReconstructionCode5
Conditional Injective Flows for Bayesian ImagingCode0
Semi-supervised atmospheric component learning in low-light image problem—0
Residual Swin Transformer Channel Attention Network for Image Demosaicing—0
Simple Baselines for Image RestorationCode4
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging—0
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems—0
Extremely Low-light Image Enhancement with Scene Text RestorationCode0
Learning to Deblur using Light Field Generated and Real Defocus ImagesCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor CompletionCode0
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarityCode1
Exploring and Evaluating Image Restoration Potential in Dynamic ScenesCode1
Secondary complementary balancing compressive imaging with a free-space balanced amplified photodetector—0
Medium Transmission Map Matters for Learning to Restore Real-World Underwater ImagesCode0
Enriched CNN-Transformer Feature Aggregation Networks for Super-ResolutionCode1
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning—0
MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image InpaintingCode1
TAPE: Task-Agnostic Prior Embedding for Image Restoration—0
Self-Supervised Face Image Restoration with a One-Shot ReferenceCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging—0
Selective Residual M-Net for Real Image DenoisingCode1
Half Wavelet Attention on M-Net+ for Low-Light Image EnhancementCode1
SUNet: Swin Transformer UNet for Image DenoisingCode2
Alternative design of DeepPDNet in the context of image restoration—0
Task Adaptive Network for Image Restoration With Combined Degradation FactorsCode1
Ab-initio Contrast Estimation and Denoising of Cryo-EM ImagesCode1
Deep Constrained Least Squares for Blind Image Super-ResolutionCode2
Zero-Reference Image Restoration for Under-Display Camera of UAVCode1
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex RegularizationCode1
VRT: A Video Restoration TransformerCode3
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic ModelCode1
Denoising Diffusion Restoration ModelsCode2
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond—0
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Tensor Wiener Filter—0
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images—0
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical BenchmarkCode1
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality AssessmentCode0
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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