FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization

要旨

Creating new fonts requires a lot of human effort and professional typographic knowledge. Despite the rapid advancements of automatic font generation models, existing methods require users to prepare pre-designed characters with target styles using font-editing software, which poses a problem for non-expert users. To address this limitation, we propose FontCraft, a system that enables font generation without relying on pre-designed characters. Our approach integrates the exploration of a font-style latent space with human-in-the-loop preferential Bayesian optimization and multimodal references, facilitating efficient exploration and enhancing user control. Moreover, FontCraft allows users to revisit previous designs, retracting their earlier choices in the preferential Bayesian optimization process. Once users finish editing the style of a selected character, they can propagate it to the remaining characters and further refine them as needed. The system then generates a complete outline font in OpenType format. We evaluated the effectiveness of FontCraft through a user study comparing it to a baseline interface. Results from both quantitative and qualitative evaluations demonstrate that FontCraft enables non-expert users to design fonts efficiently.

著者
Yuki Tatsukawa
The University of Tokyo, Tokyo, Japan
I-Chao Shen
Graduate School of Information Science and Technology, Tokyo, Japan
Mustafa Doga Dogan
Adobe Research, Basel, Switzerland
Anran QI
Inria, Sophia Antipolis, France
Yuki Koyama
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
Ariel Shamir
Reichman University, Herzliya, Israel
Takeo Igarashi
The University of Tokyo, Tokyo, Japan
DOI

10.1145/3706598.3713863

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713863

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Optimization with/for AI

G318+G319
7 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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