FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization
ACM Conference on Human Factors in Computing Systems (CHI) - 2025
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See also
See the project page for additional content.
Acknowledgements and Funding
This work was partially supported by JST AdCORP, Grant Number JPMJKB2302, JSPS Grant-in-Aid JP23K16921, Japan, ANR-21-CE33- 0002 GLACIS, France, and a collaboration with Dentsu Digital.
BibTex references
@InProceedings{TSDQKSI25,
author = "Tatsukawa, Yuki and Shen, I-Chao and Dogan, Mustafa Doga and Qi , Anran and Koyama, Yuki and Shamir, Ariel and Igarashi, Takeo",
title = "FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization ",
booktitle = "ACM Conference on Human Factors in Computing Systems (CHI)",
year = "2025",
url = "http://www-sop.inria.fr/reves/Basilic/2025/TSDQKSI25"
}