AI RESEARCH

Hierarchical Co-Embedding of Font Shapes and Impression Tags

arXiv CS.CV

ArXi:2604.04158v1 Announce Type: new Font shapes can evoke a wide range of impressions, but the correspondence between fonts and impression descriptions is not one-to-one: some impressions are broadly compatible with diverse styles, whereas others strongly constrain the set of plausible fonts. We refer to this graded constraint strength as style specificity. In this paper, we propose a hyperbolic co-embedding framework that models font--impression correspondence through entailment rather than simple paired alignment. Font images and impression descriptions, represented as single.