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 10511060 of 1459 papers

TitleStatusHype
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric0
Rethinking deinterlacing for early interlaced videos0
Navigating the GAN Parameter Space for Semantic Image EditingCode1
Rank-One Network: An Effective Framework for Image RestorationCode1
Learning to Sample the Most Useful Training Patches from Images0
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data0
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks0
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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