1 citations · 1 across the 3 of their papers we have counts for
3 papers
Font Generation with Missing Impression Labels
Seiya Matsuda, Akisato Kimura, Seiichi Uchida
Our goal is to generate fonts with specific impressions, by training a generative adversarial network with a font dataset with impression labels. The main difficulty is that font i…
Shared Latent Space of Font Shapes and Their Noisy Impressions
Jihun Kang, Daichi Haraguchi, Seiya Matsuda +2
Styles of typefaces or fonts are often associated with specific impressions, such as heavy, contemporary, or elegant. This indicates that there are certain correlations between fon…
Impressions2Font: Generating Fonts by Specifying Impressions
Seiya Matsuda, Akisato Kimura, Seiichi Uchida
Various fonts give us various impressions, which are often represented by words. This paper proposes Impressions2Font (Imp2Font) that generates font images with specific impression…