![]() ![]() Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions. The complexity of the task increases when modelling lifelong ageing where significant age modification is desired (e.g. In order to model such a process over a single input facial image, the change in head shape and texture must be captured while the identity and other key facial attributes of the input face must be preserved. What is age transformation?Īge transformation is a process of representing the change in a person’s appearance across different ages while preserving his identity. This article gives an overview of SAM along with its demonstration using Python code.īefore going into the details of SAM, let us first understand what is meant by the ‘age transformation’ task. It was introduced by Yuval Alalu, Or Patashnik and Daneil Cohen-Or of Tel-Aviv University in February 2021 ( research paper). Style-based Age Manipulation (SAM) is a method used to perform fine-grained age transformation in digital image processing and computer vision tasks using a single facial image as an input. Why the name ‘style-based Age Manipulation’?. ![]()
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