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 11011110 of 1459 papers

TitleStatusHype
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning0
Rethinking Atmospheric Turbulence Mitigation0
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information0
Rethinking RGB Color Representation for Image Restoration Models0
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation0
RetinaRegen: A Hybrid Model for Readability and Detail Restoration in Fundus Images0
Reversible Adversarial Attack based on Reversible Image Transformation0
Reversing Flow for Image Restoration0
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method0
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond0
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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