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arxiv: 1706.01807 · v1 · pith:BX6ZJKX4new · submitted 2017-06-06 · 📊 stat.ML

GAN and VAE from an Optimal Transport Point of View

Aude Genevay , Gabriel Peyr\'e , Marco Cuturi This is my paper
classification 📊 stat.ML
keywords arxivsomeadversarialarticleautoencodersconnexionsestimatorsgenerative
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This short article revisits some of the ideas introduced in arXiv:1701.07875 and arXiv:1705.07642 in a simple setup. This sheds some lights on the connexions between Variational Autoencoders (VAE), Generative Adversarial Networks (GAN) and Minimum Kantorovitch Estimators (MKE).

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport

    stat.ML 2019-07 unverdicted novelty 7.0

    k-GANs trains an ensemble of GANs by mapping point masses to Voronoi tiles of the data distribution using semi-discrete optimal transport and iteratively optimizing both generators and point masses, outperforming base...