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 1341–1350 of 1459 papers

TitleStatusHype
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization—0
Deep Mean-Shift Priors for Image RestorationCode0
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration—0
A wavelet frame coefficient total variational model for image restoration—0
MemNet: A Persistent Memory Network for Image RestorationCode0
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning—0
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception ModuleCode0
Generative Adversarial Network based on Resnet for Conditional Image Restoration—0
Impulsive noise removal from color images with morphological filtering—0
Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition—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