SOURCE-LINKED INTELLIGENCE
AVTR-1: Open Stack for Real-Time Interactive Avatars
Talking-head and dyadic models now achieve real-time inference, yet fast motion generation alone does not produce an interactive conversation. A live system must synchronize the model's output with speech from an external voice agent, schedule video frames for playback, and handle interruptions. We introduce AVTR-1, an open stack for real-time interactive avatar conversations, built around a compact 153M-parameter autoregressive flow-matching motion generator conditioned on both participants' audio. We adapt its audio encoder for streaming through self-distillation. The stack turns the model's
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-19T09:45:26.000Z
First collected: 2026-09-23T12:01:45.602Z. This is not the publication date.