| 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 # |
|
| Date of Issue |
2019-03-05 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| 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) |
|
| Keyword(1) |
GAN |
| Keyword(2) |
User's Preferences |
| Keyword(3) |
Generation |
| Keyword(4) |
Animation Characters |
| Keyword(5) |
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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) |