Search Results for author: Seiya Matsuda

Found 3 papers, 0 papers with code

Font Generation with Missing Impression Labels

no code implementations19 Mar 2022 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.

Font Generation Generative Adversarial Network +1

Shared Latent Space of Font Shapes and Their Noisy Impressions

no code implementations23 Mar 2021 Jihun Kang, Daichi Haraguchi, Seiya Matsuda, Akisato Kimura, Seiichi Uchida

The difficulty is that the impression words attached to a font are often very noisy.

Impressions2Font: Generating Fonts by Specifying Impressions

no code implementations18 Mar 2021 Seiya Matsuda, Akisato Kimura, Seiichi Uchida

Various fonts give us various impressions, which are often represented by words.

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