FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

31 Dec 2019 Lingzhi Li Jianmin Bao Hao Yang Dong Chen Fang Wen

In this work, we propose a novel two-stage framework, called FaceShifter, for high fidelity and occlusion aware face swapping. Unlike many existing face swapping works that leverage only limited information from the target image when synthesizing the swapped face, our framework, in its first stage, generates the swapped face in high-fidelity by exploiting and integrating the target attributes thoroughly and adaptively... (read more)

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