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Face attribute editing using AttGAN and guide mask
- Authors
- Yang, Hyeon seok; Moon, Young shik
- Issue Date
- Jan-2019
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- AttGAN; Facial attribute editing; Mask
- Citation
- ICEIC 2019 - International Conference on Electronics, Information, and Communication, pp 392 - 394
- Pages
- 3
- Indexed
- OTHER
- Journal Title
- ICEIC 2019 - International Conference on Electronics, Information, and Communication
- Start Page
- 392
- End Page
- 394
- ISSN
- 0000-0000
- 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. © 2019 Institute of Electronics and Information Engineers (IEIE).
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