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    • 68. 发明申请
    • AVATAR ANIMATION SYSTEM
    • 阿凡达动画系统
    • WO2017101094A1
    • 2017-06-22
    • PCT/CN2015/097826
    • 2015-12-18
    • INTEL CORPORATIONPARK, MinjeKIM, Tae-HoonJU, Myung-HoYI, JihyeonSHEN, XiaoluZHANG, LidanLI, Qiang
    • PARK, MinjeKIM, Tae-HoonJU, Myung-HoYI, JihyeonSHEN, XiaoluZHANG, LidanLI, Qiang
    • G06T13/40
    • G06T13/40G06T7/73G06T17/20G06T2207/20084G06T2207/30201G06T2210/44
    • Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. The real-time provision of high quality avatar animation is enabled, at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor. The machine learning component may be trained using a set of training images that depict human facial expressions and avatar animation authored by professional animators to reflect facial expressions depicted in the set of training images.
    • 这里公开的头像动画系统提供基于人脸的变化的人脸的高质量实时头像动画。 高质量化身动画的实时提供至少部分地由多帧回归器实现,该多帧回归器配置成将描述两幅或多幅图像中描绘的面部表情的信息映射到描述单个化身混合形状的信息。 该两个或更多个图像可以是时间上连续的图像。 该多帧回归器实现机器学习组件,其从描述主体的脸部的信息和/或描述先前由多帧回归器生成的化身动画帧的信息来生成高质量化身动画。 机器学习组件可以使用一组描述人类面部表情的训练图像和由专业动画师创作的化身动画来反映在该组训练图像中描绘的面部表情。