EmbodiedHead: Real-Time Listening and Speaking Avatar for Conversational Agents
We present EmbodiedHead, a speech-driven talking head framework that equips LLMs with real-time visual avatars for conversation. A practical embodied avatar must achieve real-time generation, unified listening-speaking behavior, and high rendered visual quality simultaneously. Our framework couples the first Rectified-Flow Diffusion Transformer (DiT) for this task with a differentiable renderer, enabling diverse, high-fidelity generation in as few as four sampling steps. Prior listening-speaking methods rely on dual-stream audio, introducing an interlocutor look-ahead dependency incompatible with causal user--LLM interaction. We instead adopt a single-stream interface with explicit per-fr...
| Authors | Yu Zhang, Kaiyuan Shen, Yang Li |
|---|---|
| Primary category | cs.CV |
| Published | 19 April 2026 |
| Last updated at source | 12 October 2026 |
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