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 1091–1100 of 1459 papers

TitleStatusHype
Fractional differentiation based image processing—0
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models—0
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression—0
Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration—0
Frequency Regularized Deep Convolutional Dictionary Learning and Application to Blind Denoising—0
From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration—0
From Posterior Sampling to Meaningful Diversity in Image Restoration—0
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras—0
Functional Neural Networks for Parametric Image Restoration Problems—0
Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond—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