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 751–775 of 1459 papers

TitleStatusHype
UNet--: Memory-Efficient and Feature-Enhanced Network Architecture based on U-Net with Reduced Skip-Connections—0
Unfolding Taylor's Approximations for Image Restoration—0
UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration—0
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations—0
Unifying Image Processing as Visual Prompting Question Answering—0
UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints—0
UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior—0
UniRes: Universal Image Restoration for Complex Degradations—0
UniUIR: Considering Underwater Image Restoration as An All-in-One Learner—0
Unpaired Deep Image Deraining Using Dual Contrastive Learning—0
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning—0
Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration—0
Unsupervised Image Fusion Using Deep Image Priors—0
Unsupervised Lesion Detection via Image Restoration with a Normative Prior—0
Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer—0
Unsupervised PET Reconstruction from a Bayesian Perspective—0
Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition—0
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring—0
Variational Image Segmentation Model Coupled with Image Restoration Achievements—0
Vector Quantization With Self-Attention for Quality-Independent Representation Learning—0
Vehicle Image Generation Going Well with The Surroundings—0
Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images—0
Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms—0
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks—0
Visual Attention Network for Low Dose CT—0
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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