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Paper Abstract and Keywords
Presentation 2025-06-12 11:10
Enhancing Image Diversity and Color Quality with Bicycle GAN using Mode Seeking Regularization
Shinki Jyu, Kaoru Arakawa (Meiji Univ.) SIS2025-4
Abstract (in Japanese) (See Japanese page) 
(in English) In generating images by deep neural networks, it is important to obtain diverse outputs from the same input conditions for creative applications. Although BicycleGAN enables diversity using latent vectors, its variations in actual output images are often limited. In order to solve this problem, a method to reflect the difference of latent vectors clearly to the generated images, emphasizing the diversity, is proposed by introducing the Mode Seeking Regularization term in MSGAN into the loss function of BicycleGAN. Experiments on coloring anime line drawings show that our method improves both color diversity and image quality compared to conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Neural Networks / BicycleGAN / Mode Seeking Regularization / Diversity Enhancement / Line Art Colorization / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 68, SIS2025-4, pp. 19-23, June 2025.
Paper # SIS2025-4 
Date of Issue 2025-06-05 (SIS) 
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 SIS2025-4

Conference Information
Committee SIS  
Conference Date 2025-06-12 - 2025-06-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Intelligent Multimedia Systems, Applied Embedded Systems, Three-Dimensional Image Technology (3DIT), etc. 
Paper Information
Registration To SIS 
Conference Code 2025-06-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Enhancing Image Diversity and Color Quality with Bicycle GAN using Mode Seeking Regularization 
Sub Title (in English)  
Keyword(1) Deep Neural Networks  
Keyword(2) BicycleGAN  
Keyword(3) Mode Seeking Regularization  
Keyword(4) Diversity Enhancement  
Keyword(5) Line Art Colorization  
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Keyword(8)  
1st Author's Name Shinki Jyu  
1st Author's Affiliation Meiji University (Meiji Univ.)
2nd Author's Name Kaoru Arakawa  
2nd Author's Affiliation Meiji University (Meiji Univ.)
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Speaker Author-1 
Date Time 2025-06-12 11:10:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2025-4 
Volume (vol) vol.125 
Number (no) no.68 
Page pp.19-23 
#Pages 5 
Date of Issue 2025-06-05 (SIS) 

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