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 131–140 of 1459 papers

TitleStatusHype
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
MRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers—0
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal ControlCode1
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
All-in-One Image Compression and RestorationCode1
Efficient Image Restoration via Latent Consistency Flow Matching—0
Blind Visible Watermark Removal with Morphological Dilation—0
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
Shape from Semantics: 3D Shape Generation from Multi-View Semantics—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