PersonaGesture: Single-Reference Co-Speech Gesture Personalization for Unseen Speakers
Researchers have developed PersonaGesture, a new diffusion-based system designed to personalize co-speech gestures for unseen speakers. The system takes target speech and a single motion clip from a new individual to generate gestures that match the utterance while preserving the speaker's unique style. PersonaGesture utilizes Adaptive Style Infusion and Implicit Distribution Rectification to effectively separate speaker identity from utterance-specific motion, improving personalization compared to existing methods. AI
IMPACT Enhances the realism and personalization of virtual avatars and agents by enabling more natural co-speech gesture synthesis.