Towards Diverse and Consistent Typography Generation
Wataru Shimoda Daichi Haraguchi Seiichi Uchida Kota Yamaguchi
In this work, we consider the typography generation task that aims at
producing diverse typographic styling for the given graphic document. We
formulate typography generation as a fine-grained attribute generation for
multiple text elements and build an autoregressive model to generate diverse
typography that matches the input design context. We further propose a simple
yet effective sampling approach that respects the consistency and distinction
principle of typography so that generated examples share consistent typographic
styling across text elements. Our empirical study shows that our model
successfully generates diverse typographic designs while preserving a
consistent typographic structure.