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 13211330 of 1459 papers

TitleStatusHype
Non-blind Image Restoration Based on Convolutional Neural Network0
Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration0
Nonlinear Filter Based Image Denoising Using AMF Approach0
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration0
NTIRE 2020 Challenge on Image Demoireing: Methods and Results0
NTIRE 2021 Challenge on Perceptual Image Quality Assessment0
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results0
NTIRE 2022 Challenge on Perceptual Image Quality Assessment0
NTIRE 2023 Quality Assessment of Video Enhancement Challenge0
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge0
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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