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 826–850 of 1459 papers

TitleStatusHype
Energy-Calibrated VAE with Test Time Free LunchCode0
Pelvic floor MRI segmentation based on semi-supervised deep learning—0
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter—0
Image Restoration with Point Spread Function Regularization and Active Learning—0
From Posterior Sampling to Meaningful Diversity in Image Restoration—0
Unifying Image Processing as Visual Prompting Question Answering—0
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression—0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis—0
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image RestorationCode0
A Restoration Network as an Implicit Prior—0
JPEG Information Regularized Deep Image Prior for Denoising—0
Guided Frequency Loss for Image Restoration—0
Uncertainty Quantification via Neural Posterior Principal Components—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
License Plate Super-Resolution Using Diffusion Models—0
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising—0
AOSR-Net: All-in-One Sandstorm Removal Network—0
A Multi-scale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing—0
Advanced Underwater Image Restoration in Complex Illumination Conditions—0
Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction—0
Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformer—0
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning—0
Unfolded proximal neural networks for robust image Gaussian denoising—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