Search Results for author: Changdae Park

Found 1 papers, 0 papers with code

From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech

no code implementations ICLR 2020 Hyeong-Seok Choi, Changdae Park, Kyogu Lee

We analyze the extent to which the network can naturally disentangle two latent factors that contribute to the generation of a face image - one that comes directly from a speech signal and the other that is not related to it - and explore whether the network can learn to generate natural human face image distribution by modeling these factors.

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