Paper Abstract and Keywords |
Presentation |
2022-01-17 10:40
Automatic Makeup Transfer with GANs and Its Quantitative Evaluation Cuilin Wang, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2021-20 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Transferring makeup from a reference image with makeup to a source image without makeup has a wide range of application in real life, and has been widely studied bassd on GANs in recent years and obtained good transfer results in most cases, but quantitative evaluation is generally lacking. In this paper we propose a GANs based deep learning model to accom- plish automatic makeup transfer, and quantitatively evaluate it by FID score. Both qualitative and quantitative comparison with baselines show that the new proposed model in this paper optimizes the quality of the generated images based on the successful makeup transfer due to the addition of a self-attention module and residual blocks. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Generative adversarial networks / FID / residual neural networks / self-attention / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 321, IBISML2021-20, pp. 17-22, Jan. 2022. |
Paper # |
IBISML2021-20 |
Date of Issue |
2022-01-10 (IBISML) |
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) |
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IBISML2021-20 |
Conference Information |
Committee |
IBISML |
Conference Date |
2022-01-17 - 2022-01-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Machine Learning, etc. |
Paper Information |
Registration To |
IBISML |
Conference Code |
2022-01-IBISML |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Automatic Makeup Transfer with GANs and Its Quantitative Evaluation |
Sub Title (in English) |
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Keyword(1) |
Generative adversarial networks |
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FID |
Keyword(3) |
residual neural networks |
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self-attention |
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1st Author's Name |
Cuilin Wang |
1st Author's Affiliation |
Kyushu University (Kyushu Univ.) |
2nd Author's Name |
Jun'ichi Takeuchi |
2nd Author's Affiliation |
Kyushu University (Kyushu Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-01-17 10:40:00 |
Presentation Time |
20 minutes |
Registration for |
IBISML |
Paper # |
IBISML2021-20 |
Volume (vol) |
vol.121 |
Number (no) |
no.321 |
Page |
pp.17-22 |
#Pages |
6 |
Date of Issue |
2022-01-10 (IBISML) |
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