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 976–1000 of 1459 papers

TitleStatusHype
Underwater Image Restoration via Contrastive Learning and a Real-world DatasetCode1
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model—0
Controllable Image Restoration for Under-Display Camera in Smartphones—0
Restoring Extremely Dark Images in Real TimeCode0
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
High-Quality Stereo Image Restoration From Double Refraction—0
Learning a Non-Blind Deblurring Network for Night Blurry Images—0
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Patch-Based Image Restoration using Expectation Propagation—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Removal of speckle noises from ultrasound images using five different deep learning networksCode0
Wavelength-based Attributed Deep Neural Network for Underwater Image RestorationCode1
Uformer: A General U-Shaped Transformer for Image RestorationCode1
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and ResultsCode1
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution—0
Self-Organized Residual Blocks for Image Super-Resolution—0
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
HINet: Half Instance Normalization Network for Image RestorationCode1
Joint Face Image Restoration and Frontalization for Recognition—0
Operation-wise Attention Network for Tampering Localization Fusion—0
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Toward Interactive Modulation for Photo-Realistic Image Restoration—0
NTIRE 2021 Challenge on Perceptual Image Quality Assessment—0
(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality AssessmentCode1
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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