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 541–550 of 1459 papers

TitleStatusHype
indiSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy—0
RELD: Regularization by Latent Diffusion Models for Image Restoration—0
Diffusion Image Prior—0
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
Invert2Restore: Zero-Shot Degradation-Blind Image Restoration—0
Cat-AIR: Content and Task-Aware All-in-One Image Restoration—0
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration—0
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration—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