In this paper, we propose a novel approach to try and address this problem. Over the past decade or so, researchers have been working on developing face processing mechanisms to tackle the challenge of generating realistic aged faces for applications related to smart systems. As such, automatic aged or de-aged face generation has become an important subject of study in recent times. Techniques for facial age progression and regression have many applications and a myriad of challenges.
