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A Visual Speech Generator

机译:视觉语音生成器

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摘要

Efficient, realistic face animation is still a challenge. A system is proposed that yields realistic animations for speech. It starts from real 3D face dynamics, observed at a frame rate of 25 fps for thousands of points on the faces of speaking actors. When asked to animate a face it replicates the visemes that it has learned, and adds the necessary coarticulation effects. The speech animation could be based on as few as 16 modes, extracted through Independent Component Analysis from the observed face dynamics. Also faces for which only a static, neutral 3D model is available, can be animated. Rather than animating via verbatim copying other faces' deformation fields, the visemes are adapted to the shape of the new face. By localising this face in a 'Face Space', where also the locations of the example faces are known, visemes are adapted automatically according to the relative distance with respect to these examples. The animation tool proposes a good speech-based face animation as a point of departure for animators, who also get support by the system to then make further changes as desired.
机译:高效,逼真的面部动画仍然是一个挑战。提出了一种产生语音逼真的动画的系统。它从真实的3D面部动态开始,以25 fps的帧速率观察说话演员脸上数千个点。当被要求为脸部设置动画时,它会复制已学习的视素,并添加必要的协同发音效果。语音动画可以基于多达16种模式,这些模式是通过“独立成分分析”从观察到的面部动态中提取的。还可以对只有静态,中性的3D模型可用的面部进行动画处理。视位框不是通过逐字复制其他面的变形场来进行动画处理,而是适应新面的形状。通过将该面部定位在“面部空间”中,在该面部空间中也知道示例面部的位置,视位素会根据相对于这些示例的相对距离自动进行调整。该动画工具提出了一个基于语音的良好人脸动画,作为动画师的出发点,他们也得到了系统的支持,可以根据需要进行进一步的更改。

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