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Producing Higher-Quality Samples Of Natural Images

  • US 20170365038A1
  • Filed: 06/15/2017
  • Published: 12/21/2017
  • Est. Priority Date: 06/16/2016
  • Status: Active Grant
First Claim
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1. A method comprising, by one or more computing devices:

  • accessing a plurality of generative adversarial networks (GANs) that are each applied to a particular level k of a Laplacian pyramid, wherein each GAN comprises a generative model Gk and a discriminative model Dk, wherein, at each level k;

    the generative model Gk takes as input a noise vector zk and outputs a generated image {tilde over (h)}k; and

    the discriminative model Dk takes as input either the generated image {tilde over (h)}k or a real image hk drawn from a set of training data, and outputs a probability that the input was the real image hk;

    generating a sample image Ĩ

    k from the generated images {tilde over (h)}k, wherein the sample image is based at least in part on the probabilities outputted by each of the discriminative models Dk at each level k of the Laplacian pyramid and the generated images {tilde over (h)}k; and

    providing the sample image Ĩ

    k for display on a display screen of a client device of a user of a communications network.

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