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 13011310 of 1459 papers

TitleStatusHype
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Deep Hyperspectral Prior: Denoising, Inpainting, Super-ResolutionCode0
Deep Graph Laplacian Regularization for Robust Denoising of Real ImagesCode0
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
Residual Dense Network for Image RestorationCode0
Residual Non-local Attention Networks for Image RestorationCode0
Exploring Richer and More Accurate Information via Frequency Selection for Image RestorationCode0
Restoration based Generative ModelsCode0
Benchmarking Ultra-High-Definition Image Reflection RemovalCode0
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary SearchCode0
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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