OpenSeeFace is a lightweight, open-source facial tracking library optimized for robust and fast avatar animation.

// 2h agoOPENSOURCE RELEASE

OpenSeeFace is a lightweight, open-source facial tracking library optimized for robust and fast avatar animation.

OpenSeeFace is a lightweight facial landmark tracking library designed specifically for avatar animation, prioritizing tracking stability in challenging real-world conditions over academic benchmark scores. Powered by MobileNetV3-based models converted to ONNX, it performs fast CPU inference to track a single face at 30-60 frames per second. The project is widely used in the VTubing ecosystem, serving as the tracking engine behind popular avatar software like VSeeFace, VTube Studio, VNyan, and Warudo.

// ANALYSIS

Real-time usability and hardware efficiency are far more important than chasing benchmark percentages in interactive avatar tracking.

* Implementing MobileNetV3 and ONNX enables smooth 30-60 fps tracking directly on the CPU, saving precious GPU resources for rendering and gaming.

* Focuses heavily on tracking stability under challenging conditions, which is crucial for live stream VTubing.

* Acts as a crucial open-source foundation integrated by popular frontend software like VSeeFace and VTube Studio.

// TAGS

facial-trackingvtuberavatar-animationonnxmobilenetv3open-sourcecpu-inference

DISCOVERED

2h ago

2026-07-08

PUBLISHED

3h ago

2026-07-08

RELEVANCE

6/ 10

AUTHOR

GithubProjects

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