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.