Paper Abstract and Keywords |
Presentation |
2019-03-12 14:00
GAN Framework of Fitting Preference Distribution of "Kawaii" Wu Shuangmei, Xie Haoran, Miyata Kazunori (JAIST) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
To study male characters reflecting user's preferences in the generation results is a challenging task. In this work, we propose a "kawaii" image generation framework of male animation character faces, which can adapt to Generative Adversarial Network (GAN) frameworks and fit user’s preferences. We present a dataset for the training of the proposed framework. We execute an evaluation experiment to verify the effectiveness of this framework. As a result, our proposed framework is effective, and the generation results of GAN with this framework are more fitted to the user's preference than before. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
GAN / User's Preferences / Generation / Animation Characters / / / / |
Reference Info. |
ITE Tech. Rep., vol. 43, pp. 301-304, March 2019. |
Paper # |
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Date of Issue |
2019-03-05 (AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
AIT IIEEJ AS CG-ARTS |
Conference Date |
2019-03-12 - 2019-03-12 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Waseda Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Expressive Japan 2019 |
Paper Information |
Registration To |
AS |
Conference Code |
2019-03-AIT-IIEEJ-AS-ARTS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
GAN Framework of Fitting Preference Distribution of "Kawaii" |
Sub Title (in English) |
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GAN |
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User's Preferences |
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Generation |
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Animation Characters |
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1st Author's Name |
Wu Shuangmei |
1st Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
2nd Author's Name |
Xie Haoran |
2nd Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
3rd Author's Name |
Miyata Kazunori |
3rd Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
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Speaker |
Author-1 |
Date Time |
2019-03-12 14:00:00 |
Presentation Time |
135 minutes |
Registration for |
AS |
Paper # |
AIT2019-135 |
Volume (vol) |
vol.43 |
Number (no) |
no.9 |
Page |
pp.301-304 |
#Pages |
4 |
Date of Issue |
2019-03-05 (AIT) |