Motion Prompting is a video generation technology from Google DeepMind, the University of Michigan, and Brown University that aims to control the generation of video content through user-defined motion trajectories.
core functionality
- Motion trajectory control
Users can draw motion trajectories that directly affect how objects move in the video for more intuitive editing. - Motion picture editing
Utilizing point-trajectory representation technology, users are able to design complex motion patterns to generate dynamic image content that meets expectations.
application scenario
- Video Production
Provides video editors with more flexible tools for precise motion control and special effects design. - Animation Creation
Animators can utilize this technology to quickly generate complex motion paths and improve creative efficiency. - Education and training
Demonstrate the laws of motion of objects and provide visual aids in teaching.
Acquisition method
Currently, research and technical details about Motion Prompting are available on its official website, which users can visit for more information.
Official website:motion-prompting.github.io
For a more intuitive look at the capabilities of Motion Prompting, refer to the following video tutorials:
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