LiteAvatar
An audio-driven real-time 2D chat avatar generation model that enables 30fps real-time inference on CPU-only devices.
Product Details
LiteAvatar is an audio-driven real-time 2D avatar generation model, mainly used in real-time chat scenarios. This model uses efficient speech recognition and mouth shape parameter prediction technology, combined with a lightweight 2D face generation model, to achieve 30fps real-time inference on a CPU-only device. Its main advantages include efficient audio feature extraction, lightweight model design, and mobile device-friendly support. This technology is suitable for virtual avatar generation scenarios that require real-time interaction, such as online meetings, virtual live broadcasts, etc. It was developed based on the demand for real-time interaction and low hardware requirements. It is currently open source and free, and is positioned as an efficient, low-resource consumption real-time avatar generation solution.
Main Features
How to Use
Target Users
The target audience is application developers who need real-time virtual avatar generation, virtual live broadcast platforms, and enterprises that require real-time interaction. This technology is suitable for scenarios that want to achieve efficient real-time interaction at low hardware costs, such as online education, virtual meetings, and virtual social platforms. It can help users improve their interactive experience and lower their technical threshold.
Examples
The online education platform uses this model to provide students with real-time virtual teacher avatars to enhance interactivity.
The virtual live broadcast platform uses LiteAvatar to generate real-time virtual avatars for hosts to reduce hardware costs.
The company's internal video conferencing system integrates this technology to enable virtual avatars to participate in meetings and improve privacy protection.
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