Lightweight High-Fidelity Low-Bitrate Talking Face Compression for 3D Video Conference

• URL: http://arxiv.org/abs/2601.21269v1
• Date: Thu, 29 Jan 2026 05:03:29 GMT
• Title: Lightweight High-Fidelity Low-Bitrate Talking Face Compression for 3D Video Conference
• Authors: Jianglong Li, Jun Xu, Bingcong Lu, Zhengxue Cheng, Hongwei Hu, Ronghua Wu, Li Song,
• Abstract summary: Traditional 2D video compression techniques fail to preserve fine-grained and geometric appearance details.<n>We propose a lightweight, high-fidelity, low-bitrate 3D talking face compression framework that integrates FLAME-based parametric modeling with 3DGS neural rendering.
• Score: 16.973019571440556
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The demand for immersive and interactive communication has driven advancements in 3D video conferencing, yet achieving high-fidelity 3D talking face representation at low bitrates remains a challenge. Traditional 2D video compression techniques fail to preserve fine-grained geometric and appearance details, while implicit neural rendering methods like NeRF suffer from prohibitive computational costs. To address these challenges, we propose a lightweight, high-fidelity, low-bitrate 3D talking face compression framework that integrates FLAME-based parametric modeling with 3DGS neural rendering. Our approach transmits only essential facial metadata in real time, enabling efficient reconstruction with a Gaussian-based head model. Additionally, we introduce a compact representation and compression scheme, including Gaussian attribute compression and MLP optimization, to enhance transmission efficiency. Experimental results demonstrate that our method achieves superior rate-distortion performance, delivering high-quality facial rendering at extremely low bitrates, making it well-suited for real-time 3D video conferencing applications.

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