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 371380 of 1459 papers

TitleStatusHype
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Image Restoration by Iterative Denoising and Backward ProjectionsCode1
Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeCode1
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image RecoveryCode1
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolutionCode1
Image Restoration via Multi-domain LearningCode1
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
Diffusion State-Guided Projected Gradient for Inverse ProblemsCode1
MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image RestorationCode1
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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