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 9911000 of 1459 papers

TitleStatusHype
Speckle Image Restoration without Clean Data0
Physics-guided Terahertz Computational Imaging0
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent0
Image Restoration in Non-Linear Filtering Domain using MDB approach0
Adaptive Non-linear Filtering Technique for Image Restoration0
Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network0
A comparison of different atmospheric turbulence simulation methods for image restoration0
Learning Enriched Features for Fast Image Restoration and Enhancement0
Towards Efficient Single Image Dehazing and Desnowing0
Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning0
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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