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 381390 of 1459 papers

TitleStatusHype
Dynamic Attentive Graph Learning for Image RestorationCode1
ReconfigISP: Reconfigurable Camera Image Processing PipelineCode1
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality AssessmentCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
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
Underwater Image Restoration via Contrastive Learning and a Real-world DatasetCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Wavelength-based Attributed Deep Neural Network for Underwater Image RestorationCode1
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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