Video-driven state-aware facial animation

  title={Video-driven state-aware facial animation},
  author={Ming Zeng and Lin Liang and Xinguo Liu and Hujun Bao},
  journal={Journal of Visualization and Computer Animation},
It is important in computer animation to synthesize expressive facial animation for avatars from videos. Some traditional methods track a set of semantic feature points on the face to drive the avatar. However, these methods usually suffer from inaccurate detection and sparseness of the feature points and fail to obtain high-level understanding of facial expressions, leading to less expressive and even wrong expressions on the avatar. In this paper, we propose a state-aware synthesis framework… CONTINUE READING


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