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 341350 of 1459 papers

TitleStatusHype
Cross Aggregation Transformer for Image RestorationCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional NetworksCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Learning to Deblur using Light Field Generated and Real Defocus ImagesCode1
Blind Inverse Gamma Correction with Maximized Differential EntropyCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Attentive Fine-Grained Structured Sparsity for Image RestorationCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
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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