Teng Deng — accepted AI-conference papers

2026

Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining

Junxuan Li, Rawal Khirodkar, Egor Zakharov, Jihyun Lee, Zhaoen Su, Yuan Dong +34

CVPR 2026

High-quality 3D avatar modeling faces a critical trade-off between fidelity and generalization. On the one hand, multi-view studio data enables high-fidelity modeling of humans with precise control over expressions and poses, but it struggles to generalize to real-world data due to limited scale and

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2025

LUCAS: Layered Universal Codec Avatars

Di Liu, Teng Deng, Giljoo Nam, Yu Rong, Stanislav Pidhorskyi, Junxuan Li +3

CVPR 2025poster

Photorealistic 3D head avatar reconstruction faces critical challenges in modeling dynamic face-hair interactions and achieving cross-identity generalization, particularly during expressions and head movements. We present LUCAS, a novel Universal Prior Model (UPM) for codec avatar modeling that dise…

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