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Face Attribute Editing using AttGan and Guide Mask

Title
Face Attribute Editing using AttGan and Guide Mask
Author
문영식
Keywords
AttGAN; facial attribute editing; mask
Issue Date
2019-01
Publisher
IEEE
Citation
2019 International Conference on Electronics, Information, and Communication (ICEIC), Page. 16-18
Abstract
Recently, face attribute editing researches using GAN have shown excellent performance. AttGAN, one of the most recent studies, has suggested a way to change only the desired attributes. However, unnatural distortion may occur in the background area when changing attributes such as hair color or baldhead. In this paper, we propose a method to remove the background distortion and make the result more natural by using a mask made by human parsing algorithm and a mask made by hand. Experiments with CelebA datasets show that this method can reduce distortion caused by existing methods.
URI
https://ieeexplore.ieee.org/abstract/document/8706471https://repository.hanyang.ac.kr/handle/20.500.11754/121736
ISBN
978-89-950044-4-9
DOI
10.23919/ELINFOCOM.2019.8706471
Appears in Collections:
COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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