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 1026–1050 of 1459 papers

TitleStatusHype
Multi-Stage Progressive Image RestorationCode1
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products—0
Exploiting Raw Images for Real-Scene Super-ResolutionCode1
Non-uniform Blur Kernel Estimation via Adaptive Basis DecompositionCode1
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentationCode0
Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer—0
Learning Structral coherence Via Generative Adversarial Network for Single Image Super-ResolutionCode1
Adaptively Sparse Regularization for Blind Image Restoration—0
Progressive Image Super-Resolution via Neural Differential Equation—0
Hyperspectral Image Denoising via Multi-modal and Double-weighted Tensor Nuclear Norm—0
BANet: Blur-aware Attention Networks for Dynamic Scene DeblurringCode1
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography—0
GAN Inversion: A SurveyCode2
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional FlowsCode1
Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration From Single Noisy Volume With Sparsity ConstraintCode1
Frequency Regularized Deep Convolutional Dictionary Learning and Application to Blind Denoising—0
Data augmentation for deep learning based accelerated MRI reconstruction—0
Layer Decomposition Learning Based on Gaussian Convolution Model and Residual Deblurring for Inverse Halftoning—0
Memory-Efficient Hierarchical Neural Architecture Search for Image RestorationCode1
Time-Travel RephotographyCode1
Underwater image filtering: methods, datasets and evaluation—0
Searching for Controllable Image Restoration Networks—0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
DILIE: Deep Internal Learning for Image Enhancement—0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
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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