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University of Tokyo
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Achieve higher-fidelity, one-shot head avatars by autoregressively splitting 3D Gaussians, guided by a GNN, to capture fine-grained facial details.
Achieve real-time cattle mounting pose estimation in complex environments with FSMC-Pose, a framework that outperforms existing methods while drastically reducing computational costs.
Finally, digital humans can have realistic, socially aware conversations: DyaDiT generates dyadic gestures that users strongly prefer over existing methods.
