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 651–660 of 1459 papers

TitleStatusHype
A Modular Conditional Diffusion Framework for Image Reconstruction—0
Chasing Better Deep Image Priors between Over- and Under-parameterizationCode0
Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes—0
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionCode0
Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond—0
Analysis and Benchmarking of Extending Blind Face Image Restoration to Videos—0
InstantIR: Blind Image Restoration with Instant Generative Reference—0
SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse ProblemsCode0
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model—0
Posterior sampling via Langevin dynamics based on generative priors—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