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IMUSE: IMU-based Facial Expression Capture
In this paper, we propose IMUSIC to fill the gap, a novel path for facial expression capture using purely IMU signals, significantly distant from previous visual solutions. The key design in our IMUSIC is a trilogy.
Video-driven Neural Physically-based Facial Asset for Production
In this paper, we present a new learning-based, video-driven approach for generating dynamic facial geometries with high-quality physically-based assets.
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