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 611–620 of 1459 papers

TitleStatusHype
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks—0
Accelerating Large Kernel Convolutions with Nested Winograd Transformation.pdf—0
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
Image Restoration using Total Variation with Overlapping Group Sparsity—0
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild—0
Are Conditional Latent Diffusion Models Effective for Image Restoration?—0
A higher-order MRF based variational model for multiplicative noise reduction—0
Diffusion Model-based FOD Restoration from High Distortion in dMRI—0
Diffusion Methods for Classification with Pairwise Relationships—0
Diffusion Image Prior—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