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Gan-Based Face Aging System with Dynamic Age Intervals | IEEE Conference Publication | IEEE Xplore

Gan-Based Face Aging System with Dynamic Age Intervals


Abstract:

This article explores and implements what a person looks like at different ages. Age affects every inch of the body. Along with the wisdom, experience, and accomplishment...Show More

Abstract:

This article explores and implements what a person looks like at different ages. Age affects every inch of the body. Along with the wisdom, experience, and accomplishments that come with aging, so too does our appearance. The change in our faces is of utmost importance. The facial aging system has a variety of uses, including finding lost children, chasing criminals, etc. Previous work on facial aging systems was developed by training a generator in a GAN to static ages such as 00–10, 11–20, and 21–30. The main goal of this work is to propose a model that dynamically determines age groups according to user requirements. In this paper, we implemented a model of GAN for every single age instead of groups of ages. This paper uses the Tkinter object which is a slider that allows the user to select the starting age and next age interval. The output of this model is a set of images for user-specified age groups.
Date of Conference: 23-25 December 2022
Date Added to IEEE Xplore: 06 April 2023
ISBN Information:
Conference Location: Bangalore, India

References

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