• Corpus ID: 211075839

Reconstructing the Noise Manifold for Image Denoising

@article{Marras2020ReconstructingTN,
  title={Reconstructing the Noise Manifold for Image Denoising},
  author={Ioannis Marras and Grigorios G. Chrysos and Ioannis Alexiou and Gregory G. Slabaugh and Stefanos Zafeiriou},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.04147}
}
Deep Convolutional Neural Networks (CNNs) have been successfully used in many low-level vision problems like image denoising. Although the conditional image generation techniques have led to large improvements in this task, there has been little effort in providing conditional generative adversarial networks (cGAN)[42] with an explicit way of understanding the image noise for object-independent denoising reliable for real-world applications. The task of leveraging structures in the target space… 
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