Age Gap Reducer-GAN for Recognizing Age-Separated Faces [article]

Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore
2020 arXiv   pre-print
In this paper, we propose a novel algorithm for matching faces with temporal variations caused due to age progression. The proposed generative adversarial network algorithm is a unified framework that combines facial age estimation and age-separated face verification. The key idea of this approach is to learn the age variations across time by conditioning the input image on the subject's gender and the target age group to which the face needs to be progressed. The loss function accounts for
more » ... cing the age gap between the original image and generated face image as well as preserving the identity. Both visual fidelity and quantitative evaluations demonstrate the efficacy of the proposed architecture on different facial age databases for age-separated face recognition.
arXiv:2011.05897v1 fatcat:wp4runa63bashotjociwv7hl6m