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 1171–1180 of 1459 papers

TitleStatusHype
Deblurring using Analysis-Synthesis Networks Pair—0
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems—0
Blur, Noise, and Compression Robust Generative Adversarial Networks—0
BP-DIP: A Backprojection based Deep Image Prior—0
Image Restoration for Under-Display Camera—0
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
H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution—0
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction—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