journal-of-information-and-optimization-sciences Journal of Information and Optimization Sciences 2169-0103 0252-2667 Taru Publications 10.47974/JIOS-1564 Conditional GAN for face aging Bhardwaj Anil Kumar School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India Arora Charu Department of Applied Science, Bharati Vidyapeeth’s College of Engineering, Guru Govind Singh Inderprashtha University, New Delhi, India Malhotra Nisha Department of Information Technology, Bharati Vidyapeeth’s College of Engineering, Guru Govind Singh Inderprashtha University, New Delhi, India Malik Payal Department of Information Technology, Bharati Vidyapeeth’s College of Engineering, Guru Govind Singh Inderprashtha University, New Delhi, India Rehalia Arvind Department of Information Technology, Bharati Vidyapeeth’s College of Engineering, Guru Govind Singh Inderprashtha University, New Delhi, India 45 2 469 480 17 03 2024

Face Ageing is a method for converting a person’s image into a certain age group. Recent research has shown that generative adversarial networks are capable of producing artificial pictures. In the paper, a conditional GAN- based model of facial ageing is proposed. Finally, a cutting-edge “Identity Preserving” optimization strategy is initiated. The suggested technique has tremendous potential, as shown by an objective analysis of the photos of aged and rejuvenated faces produced utilising cutting-edge facial recognition and age estimation technologies.

 Face aging GAN Face synthesis access open retracted no