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 861–870 of 1459 papers

TitleStatusHype
Accelerating Large Kernel Convolutions with Nested Winograd Transformation.pdf—0
A Refined Inertial DC Algorithm for DC Programming—0
A Restoration Network as an Implicit Prior—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
A Review on Deep Learning in Medical Image Reconstruction—0
A Robust Variational Model for Positive Image Deconvolution—0
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems—0
A Spectrum-based Image Denoising Method with Edge Feature Enhancement—0
AstroClearNet: Deep image prior for multi-frame astronomical image restoration—0
A Study on the Efficient Product Search Service for the Damaged Image Information—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