Computer Science > Computer Vision and Pattern Recognition
[Submitted on 2 Mar 2022 (v1), last revised 5 Apr 2022 (this version, v3)]
Title:Protecting Celebrities from DeepFake with Identity Consistency Transformer
View PDFAbstract:In this work we propose Identity Consistency Transformer, a novel face forgery detection method that focuses on high-level semantics, specifically identity information, and detecting a suspect face by finding identity inconsistency in inner and outer face regions. The Identity Consistency Transformer incorporates a consistency loss for identity consistency determination. We show that Identity Consistency Transformer exhibits superior generalization ability not only across different datasets but also across various types of image degradation forms found in real-world applications including deepfake videos. The Identity Consistency Transformer can be easily enhanced with additional identity information when such information is available, and for this reason it is especially well-suited for detecting face forgeries involving celebrities. Code will be released at \url{this https URL}
Submission history
From: Dongdong Chen [view email][v1] Wed, 2 Mar 2022 18:59:58 UTC (755 KB)
[v2] Thu, 3 Mar 2022 18:29:50 UTC (755 KB)
[v3] Tue, 5 Apr 2022 05:16:37 UTC (756 KB)
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