Siyang Song

Interactive avatars can now exhibit more emotionally appropriate and contextually aware facial behaviors thanks to a novel architecture that disentangles audio-driven lip movements from user-driven non-lip facial expressions.

Text-to-image customization can now preserve the original model's behavior, thanks to a decoupled learning objective that balances new concepts with pre-existing capabilities.