January 2019
Intermediate to advanced
316 pages
8h 16m
English
Content preview from Generative Adversarial Networks Projects
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Practical applications of Age-cGAN
Age synthesis and age progression have many industrial and consumer applications:
- Cross-age face recognition: This can be incorporated into security applications, such as mobile device unlocking or desktop unlocking. The problem with current face recognition systems is that they need to be updated with time. With Age-cGAN networks, the lifespan of cross-age face recognition systems will be longer.
- Finding lost children: This is an interesting application of an Age-cGAN. As the age of a child increases, their facial features change, and it becomes much harder to identify them. An Age-cGAN can simulate a person's face at a specified age.
- Entertainment: For example, in mobile applications, to show and share ...
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