Facial Age Synthesis With Label Distribution-Guided Generative Adversarial Network

The existing research work on facial age synthesis has been mostly focused on long-term aging (e.g., over an age span of 10 years or more). In this paper, we employ generative adversarial networks (GANs) as a tool to investigate age synthesis over different age spans. Compared with long-term aging,...

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Veröffentlicht in:	IEEE transactions on information forensics and security 2020, Vol.15, p.2679-2691
Hauptverfasser:	Sun, Yunlian, Tang, Jinhui, Shu, Xiangbo, Sun, Zhenan, Tistarelli, Massimo
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Aging Discriminators Face Facial age synthesis Gallium nitride Generative adversarial networks Generators label distribution learning Learning Sequences Short term Sun Synthesis Training Training data
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