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Paper Abstract and Keywords
Presentation 2023-09-12 16:50

Koki Miyauchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-34
Abstract (in Japanese) (See Japanese page) 
(in English) Icons are indispensable elements for websites and smartphone applications. For website developers, the creation of icons poses a formidable challenge. Specifically, it is difficult to color without deviating from the line art of the icon. It is also challenging to paint line drawings while maintaining a consistent style. In order to address this problem, we propose an innovative approach to icon generation that leverages Stable Diffusion, an expansive model for generating images, and enables textual control over the generated output. Specifically, we painted line drawings using a Stable Diffusion-based image generation model, Uni-ControlNet, which operates on multiple conditions to generate images. To facilitate the training of this model, we assembled a dataset comprising icons in the gradient style, along with their corresponding captions. We proposed a quantitative index to evaluate the similarity of gradients between reference images and colored line drawings. Our method was shown to be able to color icons with hollow structures, which was difficult with existing methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic Colorization / Diffusion Model / Conditional Generation / Icon Design / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 190, AI2023-34, pp. 201-206, Sept. 2023.
Paper # AI2023-34 
Date of Issue 2023-09-05 (AI) 
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 AI2023-34

Conference Information
Committee AI  
Conference Date 2023-09-12 - 2023-09-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2023-09-AI 
Language Japanese without English title) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English)  
Sub Title (in English)  
Keyword(1) Automatic Colorization  
Keyword(2) Diffusion Model  
Keyword(3) Conditional Generation  
Keyword(4) Icon Design  
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1st Author's Name Koki Miyauchi  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Ryohei Orihara  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Yuichi Sei  
3rd Author's Affiliation The University of Electro-Communications (UEC)
4th Author's Name Yasuyuki Tahara  
4th Author's Affiliation The University of Electro-Communications (UEC)
5th Author's Name Akihiko Ohsuga  
5th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2023-09-12 16:50:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2023-34 
Volume (vol) vol.123 
Number (no) no.190 
Page pp.201-206 
#Pages 6 
Date of Issue 2023-09-05 (AI) 

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