VisionStory enables AI-driven transformation of still photos through the following core technologies:
- First, the user uploads a clear photo of the front of the person (even lighting and no blockage is recommended), and the system will extract facial features through face recognition technology
- Secondly, the platform uses advanced facial motion capture algorithms to generate over 50 micro-expression muscle movement trajectories for the people in the photos
- User-entered text scripts are converted into phonetic phoneme sequences by natural language processing technology, with lip-sync algorithms to achieve accurate matching.
- The system also integrates a motion trajectory prediction model that automatically generates natural head bobbing and micro gestures to make digital human movements more realistic
The entire process requires no specialized equipment or motion-capture actors, and takes an average of 2-5 minutes from upload to generation.AI Digital Human Video supports adjustments to speaking speed and expressive intensity, and the ability to change the overall style of expression through mood control options.
This answer comes from the articleVisionStory: generating AI explainer videos from images and textThe
May not be reproduced without permission:AI productivity tools " How VisionStory transforms still photos into AI digital people talking videos?
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