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 351–375 of 1459 papers

TitleStatusHype
Exploiting Raw Images for Real-Scene Super-ResolutionCode1
Exploring the potential of channel interactions for image restorationCode1
Ab-initio Contrast Estimation and Denoising of Cryo-EM ImagesCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
Cross Aggregation Transformer for Image RestorationCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Memory augment is All You Need for image restorationCode1
Memory-Efficient Hierarchical Neural Architecture Search for Image RestorationCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Microscopy Image Restoration using Deep Learning on W2SCode1
Mixed Hierarchy Network for Image RestorationCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image RecoveryCode1
Attentive Fine-Grained Structured Sparsity for Image RestorationCode1
BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata EmbeddingCode1
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementCode1
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly DetectionCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Boosting All-in-One Image Restoration via Self-Improved Privilege LearningCode1
Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image RestorationCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier DomainCode1
Navigating the GAN Parameter Space for Semantic Image EditingCode1
Attention-Guided Low-Rank Tensor CompletionCode1
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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