Research Output | Dar Al-hikmah Library | IIUM Only
Linear age progression models which are largely used in prototype and conventional approaches usually produce synthesized images that are lack of quality because of the aging variations. Therefore, in this paper, a facial age progression model that captures non-linear age variances is designed by using a deep learning-based method called Generative