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Deep neural models to tackle image deblurring

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nihil21/cnn-deblur

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cnn-deblur

In this project we investigate Deep Neural Models to tackle image deblurring from Cifar10 and REDS datasets.

Approaches:

  • Convolutional AutoEncoders
  • Wasserstein Generative Adversarial Networks with Gradient Penalty

Authors:

  • Mattia Orlandi
  • Giacomo Pinardi