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 451–475 of 1459 papers

TitleStatusHype
Stochastic Frequency Masking to Improve Super-Resolution and Denoising NetworksCode1
Learning Enriched Features for Real Image Restoration and EnhancementCode1
Deep Blind Video Super-resolutionCode1
Replacing Mobile Camera ISP with a Single Deep Learning ModelCode1
Total Deep Variation for Linear Inverse ProblemsCode1
Scale-wise Convolution for Image RestorationCode1
Fully Trainable and Interpretable Non-Local Sparse Models for Image RestorationCode1
Scientific Image Restoration AnywhereCode1
Deformable Kernel Networks for Joint Image FilteringCode1
Memory-Efficient Hierarchical Neural Architecture Search for Image DenoisingCode1
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and BetterCode1
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image RepresentationsCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy imagesCode1
The 2018 PIRM Challenge on Perceptual Image Super-resolutionCode1
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image RestorationCode1
Noise2Noise: Learning Image Restoration without Clean DataCode1
Deep Image PriorCode1
Image Restoration by Iterative Denoising and Backward ProjectionsCode1
Recurrent Inference Machines for Solving Inverse ProblemsCode1
On-Demand Learning for Deep Image RestorationCode1
Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized ConstraintsCode0
Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction—0
Elucidating and Endowing the Diffusion Training Paradigm for General Image Restoration—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