Discover the story behind the open-source AI technology that's transforming how we create talking head videos.
We're dedicated to making AI-powered video generation accessible to everyone.
SadTalker was created with the vision of making advanced AI video generation accessible to developers, creators, and researchers worldwide. We believe that powerful technology should be available to everyone, not just large corporations with extensive resources.
Our open-source approach allows for transparency, community contributions, and continuous improvement. By providing free access to our technology, we enable innovation across various fields including education, entertainment, and accessibility.
We're committed to maintaining an open development process, welcoming contributions from the global community, and ensuring that SadTalker remains at the forefront of talking head generation technology.
We believe AI technology should be available to everyone
Continuously pushing the boundaries of what's possible
Building together with contributors worldwide
Promoting responsible use of AI technology
The passionate developers and researchers behind SadTalker.
Lead Researcher
Computer vision specialist with expertise in 3D face modeling and animation. Previously worked at leading AI research labs.
AI Engineer
Machine learning expert focused on audio-visual synchronization and neural rendering techniques.
Software Developer
Full-stack developer responsible for the web interface and API integration of SadTalker.
SadTalker is made possible by contributions from developers and researchers around the world. We welcome anyone interested in AI and computer vision to join our community.
Join Our CommunityThe technical innovation behind SadTalker's realistic talking head generation.
SadTalker generates 3D motion coefficients (head pose, expression) of the 3D Morphable Model from audio and implicitly modulates a 3D-aware face render for talking head generation. This approach addresses challenges like unnatural head movement and distorted expression.
The system uses ExpNet to learn accurate facial expressions from audio by distilling both coefficients and 3D-rendered faces. For head pose, PoseVAE utilizes a conditional variational autoencoder to synthesize head motion in different styles.
Join thousands of developers and creators who are using SadTalker to generate realistic talking head videos.