MIBURI: Towards Expressive Interactive Gesture Synthesis
Embodied Conversational Agents (ECAs) aim to emulate human face-to-face interaction through speech, gestures, and facial expressions. Current large language model (LLM)-based conversational agents lack embodiment and the expressive gestures essential for natural interaction. Existing solutions for ECAs often produce rigid, low-diversity motions, that are unsuitable for human-like interaction. Alternatively, generative methods for co-speech gesture synthesis yield natural body gestures but depend on future speech context and require long run-times. To bridge this gap, we present MIBURI, the first online, causal framework for generating expressive full-body gestures and facial expressions s...
| Authors | M. Hamza Mughal, Rishabh Dabral, Vera Demberg et al. |
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| Primary category | cs.CV |
| Published | 3 March 2026 |
| Last updated at source | 27 March 2026 |
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