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Paper Abstract and Keywords
Presentation 2024-05-15 13:45
Fine-tuning Large Language Models for Automatic Font Skeleton Generation: A First Attempt
Yuxuan Liu (Tokyo Tech), Yasuhisa Fujii (Google Research), Xinru Zhu, Kayoko Nohara (Tokyo Tech) PRMU2024-2
Abstract (in Japanese) (See Japanese page) 
(in English) Despite the pivotal role that font skeletons could play in the typeface research and font design, the availability of font skeleton data is sparse and limited. This research explores the possibility of using Large Language Models (LLMs) to generate font skeleton data based on font outline data. By fine-tuning GPT-3.5 with a dataset of 8,213 font outlines and corresponding skeletons, a preliminary LLM model for font skeleton generation has been achieved. Both quantitative and qualitative evaluations were performed to assess the effectiveness of the fine-tuned model, including Rasterized Pixel Distance, Chamfer Distance and visual analysis. This research has established a foundation for the automatic generation of font skeletons using LLMs, setting the stage for future work on automatic skeleton generation and the wider application of font skeletons in typography.
Keyword (in Japanese) (See Japanese page) 
(in English) typeface design / font skeleton / automatic generation / Large Language Model / fine-tuning / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 23, PRMU2024-2, pp. 7-12, May 2024.
Paper # PRMU2024-2 
Date of Issue 2024-05-08 (PRMU) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2024-2

Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2024-05-15 - 2024-05-16 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2024-05-PRMU-CVIM 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fine-tuning Large Language Models for Automatic Font Skeleton Generation: A First Attempt 
Sub Title (in English)  
Keyword(1) typeface design  
Keyword(2) font skeleton  
Keyword(3) automatic generation  
Keyword(4) Large Language Model  
Keyword(5) fine-tuning  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuxuan Liu  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Yasuhisa Fujii  
2nd Author's Affiliation Google Research (Google Research)
3rd Author's Name Xinru Zhu  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
4th Author's Name Kayoko Nohara  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2024-05-15 13:45:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2024-2 
Volume (vol) vol.124 
Number (no) no.23 
Page pp.7-12 
#Pages 6 
Date of Issue 2024-05-08 (PRMU) 

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