Critically, each style latent variable is shared by all characters within a font, while character embeddings are shared by characters of the same type across all fonts.
our approach is related to a long literature on using tensor factorization as a method for disentangling style and content (Freeman and Tenenbaum, 1997;Tenenbaum and Freeman, 2000;Vasilescu and Terzopoulos, 2002;Tang et al., 2013) and to recent deep tensor factorization techniques (Xue et al., 2017).