Shared Latent Space of Font Shapes and Impressions

• URL: http://arxiv.org/abs/2103.12347v1
• Date: Tue, 23 Mar 2021 06:54:45 GMT
• Title: Shared Latent Space of Font Shapes and Impressions
• Authors: Jihun Kang, Daichi Haraguchi, Akisato Kimura, Seiichi Uchida
• Abstract summary: We realize a shared latent space where a font shape image and its impression words are embedded in a cross-modal manner. This latent space is useful to understand the style-impression correlation and generate font images by specifying several impression words.
• Score: 9.205278113241473
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We have specific impressions from the style of a typeface (font), suggesting that there are correlations between font shape and its impressions. Based on this hypothesis, we realize a shared latent space where a font shape image and its impression words are embedded in a cross-modal manner. This latent space is useful to understand the style-impression correlation and generate font images by specifying several impression words. Experimental results with a large style-impression dataset prove that it is possible to accurately realize the shared latent space, especially for shape-relevant impression words, and then use the space to generate font images with various impressions.

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