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 10811090 of 1459 papers

TitleStatusHype
Plug-and-Play Image Restoration with Deep Denoiser PriorCode1
Self-Organized Operational Neural Networks for Severe Image Restoration Problems0
NAS-DIP: Learning Deep Image Prior with Neural Architecture SearchCode1
Deep Variational Network Toward Blind Image RestorationCode1
PNEN: Pyramid Non-Local Enhanced Networks0
LIRA: Lifelong Image Restoration from Unknown Blended Distortions0
Blur-Attention: A boosting mechanism for non-uniform blurred image restoration0
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results0
Unsupervised Image Restoration Using Partially Linear DenoisersCode0
Deep Atrous Guided Filter for Image Restoration in Under Display CamerasCode1
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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