AI RESEARCH
Revealing the Impact of Visual Text Style on Attribute-based Descriptions Produced by Large Visual Language Models
arXiv CS.CV
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ArXi:2604.27553v1 Announce Type: new When the visual style of text is considered, a wide variety can be observed in font, color, and size. However, when a word is read, its meaning is independent of the style in which it has been written or rendered. In this paper, we investigate whether, and how, the style in which a word is visualized in an image impacts the description that a Large Visual Language Model (LVLM) provides for the concept to which that word refers.