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Paper Abstract and Keywords
Presentation 2025-12-12 10:30
Improving the Characteristics of Mode Seeking BicycleGAN -- Quality Improvement of Image and Enhancing Image Diversity by Interactive Evolutionary Computation --
Shinki Jyu, Kaoru Arakawa (Meiji Univ.) SIS2025-52
Abstract (in Japanese) (See Japanese page) 
(in English) In line-art colorization by deep learning, it is required to produce diverse and high-quality colorized images from the same input line drawings. Authors proposed before BicycleGAN with mode seeking regularization to obtain more diverse colored images compared with conventional methods. However, this method tends to generate checkerboard artifacts. Moreover, depending on the latent variables, some generated images exhibited poor visual quality or undesirable color tones. In this paper, an improved model of the mode seeking BicycleGAN is proposed by introducing two key extensions: one is an up-sampling structure using bilinear interpolation to enhance image quality, and the other an interactive evolutionary computation (IEC) framework to explore the latent space which reflects the users’ preference to generate diverse and desirable color images. Experimental results demonstrate the high performance of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) deep learning / BicycleGAN / mode seeking regularization / checkerboard artifact / interactive evolutionary computation / diversity enhancement / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 282, SIS2025-52, pp. 51-56, Dec. 2025.
Paper # SIS2025-52 
Date of Issue 2025-12-04 (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 SIS2025-52

Conference Information
Committee SIS  
Conference Date 2025-12-11 - 2025-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Meijyo Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Smart Personal Sysytems, etc. 
Paper Information
Registration To SIS 
Conference Code 2025-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving the Characteristics of Mode Seeking BicycleGAN 
Sub Title (in English) Quality Improvement of Image and Enhancing Image Diversity by Interactive Evolutionary Computation 
Keyword(1) deep learning  
Keyword(2) BicycleGAN  
Keyword(3) mode seeking regularization  
Keyword(4) checkerboard artifact  
Keyword(5) interactive evolutionary computation  
Keyword(6) diversity enhancement  
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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 2025-12-12 10:30:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2025-52 
Volume (vol) vol.125 
Number (no) no.282 
Page pp.51-56 
#Pages 6 
Date of Issue 2025-12-04 (SIS) 

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