Presentation of learning face age progression

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In this paper, we present a novel generative adversarial network based approach. aging accuracy and identity permanence, are not well studied in the literature. The two underlying requirements of face age progression, i.e. Hongyu Yang, Di Huang, Yunhong Wang, and Anil K. Learing Face Age Progression: A Pyramid Architecture of GANs

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