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

Showing 431440 of 1459 papers

TitleStatusHype
DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen DomainsCode1
Multispectral Image Restoration by Generalized Opponent Transformation Total Variation0
Divide-and-Conquer Posterior Sampling for Denoising Diffusion PriorsCode1
CasSR: Activating Image Power for Real-World Image Super-Resolution0
VmambaIR: Visual State Space Model for Image RestorationCode3
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion ModelCode2
A Spectrum-based Image Denoising Method with Edge Feature Enhancement0
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint0
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-ResolutionCode1
How Powerful Potential of Attention on Image Restoration?0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified