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

Showing 12011210 of 1459 papers

TitleStatusHype
To Recurse or not to Recurse,a Low Dose CT Study0
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion0
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence0
Progressive Reconstruction of Visual Structure for Image InpaintingCode0
ERL-Net: Entangled Representation Learning for Single Image De-Raining0
Self-Guided Network for Fast Image DenoisingCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified