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 421430 of 1459 papers

TitleStatusHype
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMMCode1
Attention Cube Network for Image RestorationCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
Plug-and-Play Image Restoration with Deep Denoiser PriorCode1
NAS-DIP: Learning Deep Image Prior with Neural Architecture SearchCode1
Deep Variational Network Toward Blind Image RestorationCode1
Deep Atrous Guided Filter for Image Restoration in Under Display CamerasCode1
Rethinking Image Deraining via Rain Streaks and VaporsCode1
Wavelet-Based Dual-Branch Network for Image DemoireingCode1
Lightweight Modules for Efficient Deep Learning based Image RestorationCode1
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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