January 2019
Intermediate to advanced
316 pages
8h 16m
English
Content preview from Generative Adversarial Networks Projects
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Age-cGANs
Face aging with Conditional GANs was proposed by Grigory Antipov, Moez Baccouche, and Jean-Luc Dugelay in their paper titled Face Aging with Conditional Generative Adversarial Networks, which is available at the following link: https://arxiv.org/pdf/1702.01983.pdf. Face aging has many industry use cases, including cross-age face recognition, finding lost children, and in entertainment. We will learn how to train a conditional GAN to generate a face given a target age in Chapter 3, Face Aging Using Conditional GAN.
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