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

Showing 276300 of 1459 papers

TitleStatusHype
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality AssessmentCode1
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and InterpolationCode1
LIR: A Lightweight Baseline for Image RestorationCode1
LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation ApproachCode1
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior SamplingCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
AutoDIR: Automatic All-in-One Image Restoration with Latent DiffusionCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image RestorationCode1
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflowCode1
Learning A Coarse-to-Fine Diffusion Transformer for Image RestorationCode1
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed ImagesCode1
DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen DomainsCode1
A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse ArtifactsCode1
Joint Demosaicing and Denoising With Self GuidanceCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified