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 571580 of 1459 papers

TitleStatusHype
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image RestorationCode0
MetaUE: Model-based Meta-learning for Underwater Image EnhancementCode0
Deep Learning-Based Channel EstimationCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
Deep Image Restoration For Image Anti-ForensicsCode0
An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater ImagingCode0
Deep Hyperspectral Prior: Denoising, Inpainting, Super-ResolutionCode0
Deep Graph Laplacian Regularization for Robust Denoising of Real ImagesCode0
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold SimplificationCode0
Medium Transmission Map Matters for Learning to Restore Real-World Underwater ImagesCode0
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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