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 13211330 of 1459 papers

TitleStatusHype
ERetinex: Event Camera Meets Retinex Theory for Low-Light Image EnhancementCode0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
Restoring Extremely Dark Images in Real TimeCode0
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
Neural Architecture Search for Deep Image PriorCode0
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image ReconstructionCode0
DARK: Denoising, Amplification, Restoration KitCode0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Dequantization and Color Transfer with Diffusion ModelsCode0
Multiscale Coarse-to-Fine Guided Screenshot DemoiréingCode0
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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