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 451460 of 1459 papers

TitleStatusHype
Stochastic Frequency Masking to Improve Super-Resolution and Denoising NetworksCode1
Learning Enriched Features for Real Image Restoration and EnhancementCode1
Deep Blind Video Super-resolutionCode1
Replacing Mobile Camera ISP with a Single Deep Learning ModelCode1
Total Deep Variation for Linear Inverse ProblemsCode1
Scale-wise Convolution for Image RestorationCode1
Fully Trainable and Interpretable Non-Local Sparse Models for Image RestorationCode1
Scientific Image Restoration AnywhereCode1
Deformable Kernel Networks for Joint Image FilteringCode1
Memory-Efficient Hierarchical Neural Architecture Search for Image DenoisingCode1
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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