A method for implementing real-time video generation and interaction system of virtual human on terminal
By employing a lightweight virtual human video generation network and multi-process collaborative technology on terminal devices, the high computational resource requirements and network dependency issues caused by the high complexity of existing models are resolved. This enables low-cost, low-latency real-time virtual human video generation and interaction, improving the stability of the generated videos and the user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 杨润青
- Filing Date
- 2026-06-09
- Publication Date
- 2026-07-21
AI Technical Summary
Existing virtual human video generation solutions rely on highly complex generation models, resulting in long inference times and high computational resource requirements. This makes it difficult to achieve low-cost, low-latency real-time interaction on ordinary terminal devices, and the generated results are easily affected by network conditions, leading to an unstable user experience.
A lightweight virtual human video generation network with few parameters and low complexity is adopted. By combining static feature encoding and dynamic driving feature extraction, and through multi-process collaboration and nested smoothing processing, real-time video generation and interaction on the edge are achieved, reducing the demand for computing resources. A real-time throttling mechanism with a shared clock is introduced to ensure the stability of video timing.
Low-cost, low-latency real-time virtual human video generation and interaction were achieved on ordinary terminal devices, improving the synchronization accuracy of virtual lip movements and the naturalness of facial expressions, reducing video jitter, and enhancing the user experience.
Smart Images

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