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 501510 of 1459 papers

TitleStatusHype
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image ProcessingCode0
Plug-and-Play gradient-based denoisers applied to CT image enhancementCode0
CODE: Confident Ordinary Differential EditingCode0
Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel EstimationCode0
Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse HalftoningCode0
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor CompletionCode0
Path-Restore: Learning Network Path Selection for Image RestorationCode0
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
Patch-Ordering as a Regularization for Inverse Problems in Image ProcessingCode0
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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