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CVPR2025顶会

LUCAS: Layered Universal Codec Avatars

Di Liu, Teng Deng, Giljoo Nam, Yu Rong, Stanislav Pidhorskyi, Junxuan Li, Jason M. Saragih, Dimitris N. Metaxas, Chen Cao

2025年份

摘要

Real-time Rendered Avatars High-fidelity Gaussian Avatars Driving by Expression and Poses Generalize to Unseen Identities Figure 1. LUCAS: A novel approach for high-fidelity Layered Universal Codec Avatars. We disentangle face and hair into a layered structure, supporting both real-time mesh-based avatar (45 FPS on mobile) and high-fidelity Gaussian avatar generation. Our universal layered prior model also enables accurate expression and pose transfer, even for unseen subjects, while maintaining visual quality.

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