アラカワ　カオル   Arakawa Kaoru   荒川　薫    所属   明治大学  総合数理学部    職種   専任教授
言語種別	英語
発行・発表の年月	2021/05
形態種別	国際会議議事録
査読	査読あり
標題	Object Design System by Interactive Evolutionary Computation Using GAN with Contour Images
執筆形態	共著(筆頭者以外)
掲載誌名	Human Centered Intelligent Systems
掲載区分	国外
出版社・発行元	Springer Nature
巻・号・頁	pp.66-75
総ページ数	242
担当区分	責任著者
著者・共著者	Chen Xin, Kaoru Arakawa
概要	This paper proposes a method to design objects by interactive evolutionary computation (IEC) using generative adversarial network (GAN) with the contour image of the object which the user wants to design. Here, a conditional GAN is adopted in order to utilize the contour image. GANs can generate lifelike images of objects, however, it is hard to control the output, since GAN just generates images randomly with the distribution learned from training data. Thus, IEC is introduced here to control the latent vectors in the conditional GAN. Moreover, using the contour image, conditional GAN can efficiently generate images of objects which the user prefers. In the proposed method the latent vectors in the conditional GAN are optimized for each user, so that the design is satisfactory to him/her through the process of IEC. Experiment results show the high performance of this method.