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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 671–680 of 1459 papers

TitleStatusHype
Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration—0
Exploring Diffusion with Test-Time Training on Efficient Image Restoration—0
What's in the Image? Explorable Decoding of Compressed Images—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models—0
Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration—0
Content-Aware Depth-Adaptive Image Restoration—0
Evolutionary Neural Architecture Search for Image Restoration—0
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging—0
Content-adaptive Representation Learning for Fast Image Super-resolution—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