VisionStory's Facial Expression Control System utilizes breakthrough technology in the field of deep learning. The system builds over 300 micro-expression parameter models by analyzing the facial feature points of uploaded photos, and can accurately simulate the movement patterns of 52 human facial muscles. The platform provides six basic emotion templates, such as "cheerful", "serious" and "marketing", each of which has undergone 2,000 hours of machine learning training with the participation of Hollywood-level animators. Test data shows that the naturalness of the generated digital human expressions reaches 92 points of the FACS (Facial Action Coding System) standard, exceeding the performance level of most virtual anchors. For example, in the product demonstration scene, the digital person can automatically adjust micro-expression details such as eyebrow curvature and mouth movement according to the script, which improves the video infectiousness by 40%.
This answer comes from the articleVisionStory: generating AI explainer videos from images and textThe
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