Copyright Risk Prevention Guide
Based on the current project phase, the following areas require special attention:
- Input Material::
- Use of own copyrighted portrait photos or CC0-accepted material
- Audio is subject to recording/performance copyright license
- output limit: Commercialization of current technology demonstration results will have to wait:
- Open source license is clear (possibly Apache 2.0 or a custom protocol)
- See if the generated video contains a team watermark
- Privacy: Avoiding the use of public figures' likenesses in order to prevent image rights disputes
Precautionary measures: legal advice is recommended before future commercial use, for now refer to the Disclaimer statement on the GitHub project page. Research use suggests citing the paper Hierarchical Motion Diffusion as a technical source.
This answer comes from the articleChatAnyone: a tool for generating half-body digital human portrait videos from photosThe
May not be reproduced without permission:AI productivity tools " How to avoid copyright risks when generating digital human videos?
