Conditional out-of-sample generation for unpaired data using trVAE

1 code implementation • 4 Oct 2019 • Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf

While generative models have shown great success in generating high-dimensional samples conditional on low-dimensional descriptors (learning e. g. stroke thickness in MNIST, hair color in CelebA, or speaker identity in Wavenet), their generation out-of-sample poses fundamental problems.

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