Talking Face Generation with Expression-Tailored Generative Adversarial Network

MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA October, 2020, pp. 1716-1724, 2020.

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Abstract:

A key of automatically generating vivid talking faces is to synthesize identity-preserving natural facial expressions beyond audio-lip synchronization, which usually need to disentangle the informative features from multiple modals and then fuse them together. In this paper, we propose an end-to-end Expression-Tailored Generative Adversar...More

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