Xin Yang, , Yuezun Li, and Siwei Lyu, University at Albany, State University of New York, USA
מאמר עדכני למרץ 2018, שבוחן שיטה חדשה לחשיפת תכני DEEPFAKE על ידי מידול תלת-ממד של דמויות בתכנים שנחשדים כ-DEEPFAKE על מנת לאתר טעויות שנעשו בעת יצירת התוכן בדו-ממד.
abstract:
In this paper, we propose a new method to expose AIgenerated fake face images or videos (commonly known as the Deep Fakes). Our method is based on the observations that Deep Fakes are created by splicing synthesized face region into the original image, and in doing so, introducing errors that can be revealed when 3D head poses are estimated from the face images. We perform experiments to demonstrate this phenomenon and further develop a classification method based on this cue. Using features based on this cue, an SVM classifier is evaluated using a set of real face images and Deep Fakes.
