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Generative adversarial nets

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arXiv:1411.1784v1 [cs.LG] 6 Nov 2014

arXiv:1411.1784v1 [cs.LG] 6 Nov 2014

arxiv.org

Generative adversarial nets were recently introduced as a novel way to train a generative model. They consists of two ‘adversarial’ models: a generative model Gthat captures the data distribution, and a discriminative model Dthat estimates the probability that a …

  Nets, Adversarial generative nets, Adversarial, Generative

InfoGAN: Interpretable Representation Learning by ... - NIPS

InfoGAN: Interpretable Representation Learning by ... - NIPS

papers.nips.cc

Information Maximizing Generative Adversarial Nets Xi Chen yz, Yan Duan , Rein Houthooft , John Schulman , Ilya Sutskeverz, Pieter Abbeelyz yUC Berkeley, Department of Electrical Engineering and Computer Sciences zOpenAI Abstract This paper describes InfoGAN, an information-theoretic extension to the Gener-

  Information, Maximizing, Nets, Adversarial, Generative, Information maximizing generative adversarial nets

生成对抗网络及其在图像生成中的 ... - ict.ac.cn

生成对抗网络及其在图像生成中的 ... - ict.ac.cn

cjc.ict.ac.cn

and computational challenges. At the same time, generative adversarial networks are the latest and most successful technology among generative models. Especially in terms of image generation, compared with other generation models, generative adversarial networks can not only avoid complicated calculations, but also generate better quality images.

  Adversarial, Generative, Generative adversarial

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Generative adversarial nets, Generative, Adversarial, Information Maximizing Generative Adversarial Nets, Generative adversarial