CVPR2025
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
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.