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arXiv · 2507.18649

Livatar-1: Real-Time Talking Heads Generation with Tailored Flow Matching

Haiyang Liu·Xiaolin Hong·Xuancheng Yang·Yudi Ruan·Xiang Lian·Michael Lingelbach·Hongwei Yi·Wei Li
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Abstract

We present Livatar, a real-time audio-driven talking heads videos generation framework. Existing baselines suffer from limited lip-sync accuracy and long-term pose drift. We address these limitations with a flow matching based framework. Coupled with system optimizations, Livatar achieves competitive lip-sync quality with a 8.50 LipSync Confidence on the HDTF dataset, and reaches a throughput of 141 FPS with an end-to-end latency of 0.17s on a single A10 GPU. This makes high-fidelity avatars accessible to broader applications. Our project is available at https://www.hedra.com/ with with examples at https://h-liu1997.github.io/Livatar-1/

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Haiyang Liu, Xiaolin Hong, Xuancheng Yang, Yudi Ruan, Xiang Lian, Michael Lingelbach, Hongwei Yi, Wei Li. 2025-07-22. Livatar-1: Real-Time Talking Heads Generation with Tailored Flow Matching. https://arxiv.org/abs/2507.18649

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