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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