Protecting Celebrities with Identity Consistency Transformer

• URL: http://arxiv.org/abs/2203.01318v2
• Date: Thu, 3 Mar 2022 18:29:50 GMT
• Title: Protecting Celebrities with Identity Consistency Transformer
• Authors: Xiaoyi Dong and Jianmin Bao and Dongdong Chen and Ting Zhang and Weiming Zhang and Nenghai Yu and Dong Chen and Fang Wen and Baining Guo
• Abstract summary: Identity Consistency Transformer focuses on high-level semantics, specifically identity information, and detecting a suspect face by finding identity inconsistency in inner and outer face regions. 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.
• Score: 119.67996461810304
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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