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

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Showing 1151–1175 of 1459 papers

TitleStatusHype
Stochastic Frequency Masking to Improve Super-Resolution and Denoising NetworksCode1
Learning Enriched Features for Real Image Restoration and EnhancementCode1
BP-DIP: A Backprojection based Deep Image Prior—0
Image Restoration for Under-Display Camera—0
Deep Blind Video Super-resolutionCode1
Blind Image Restoration without Prior Knowledge—0
PSF--NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes—0
Motion Deblurring using Spatiotemporal Phase Aperture Coding—0
Replacing Mobile Camera ISP with a Single Deep Learning ModelCode1
H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution—0
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction—0
Text Extraction and Restoration of Old Handwritten Documents—0
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder—0
Total Deep Variation for Linear Inverse ProblemsCode1
Neural Architecture Search for Deep Image PriorCode0
Scale-wise Convolution for Image RestorationCode1
Image Restoration using Plug-and-Play CNN MAP DenoisersCode0
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image ProcessingCode0
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image RestorationCode0
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting—0
Fully Trainable and Interpretable Non-Local Sparse Models for Image RestorationCode1
Multiframe-based Adaptive Despeckling Algorithm for Ultrasound B-mode Imaging with Superior Edge and Texture—0
Training Image Estimators without Image Ground TruthCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
HighEr-Resolution Network for Image Demosaicing and EnhancingCode0
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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