Using GANs for face aging

Abstract

[en] Face Aging refers to processing an image of a face to make it look older or younger. In this work, we will study this problem by using Generative Models and, more specifically, Generative Adversarial Networks. This work belongs in the Artificial Intelligence and Computer Vision fields, since the problem requires the processing of images using Machine Learning. In this work we will study the available state of the art methods and also the mathematical background the models are based on. The aim is to implement and train some chosen methods on real data, propose an improvement to the models and analyse the results in order to propose a Face Aging solution.