StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

Recent studies have shown remarkable success in image-to-image translation for two domains. However, existing approaches have limited scalability and robustness in handling more than two domains, since different models should be built independently for every pair of image domains. To address this li...

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Bibliographic Details

Published in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 8789 - 8797
Main Authors:	Choi, Yunjey, Choi, Minje, Kim, Munyoung, Ha, Jung-Woo, Kim, Sunghun, Choo, Jaegul
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2018
Subjects:	Gallium nitride Generative adversarial networks Generators Hair Image reconstruction Task analysis Training
ISSN:	1063-6919
Online Access:	Get full text
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