Face Aging with Identity-Preserved Conditional Generative Adversarial Networks

• Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 7939 - 7947
• Main Authors: Tang, Xu, Wang, Zongwei, Luo, Weixin, Gao, Shenghua
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2018
• Subjects: Aging; Face; Feature extraction; Gallium nitride; Generative adversarial networks; Task analysis; Training

Face aging is of great importance for cross-age recognition and entertainment related applications. However, the lack of labeled faces of the same person across a long age range makes it challenging. Because of different aging speed of different persons, our face aging approach aims at synthesizing...