Xianbing Sun — accepted AI-conference papers

2026

AVGGT: Rethinking Global Attention for Accelerating VGGT

Xianbing Sun, Zhikai Zhu, Zhengyu Lou, Bo Yang, Jinyang Tang, Liqing Zhang +2

CVPR 2026

Models such as VGGT and \pi^3 have shown strong multi-view 3D performance, but their heavy reliance on global self-attention results in high computational cost. Existing sparse-attention variants offer partial speedups, yet lack a systematic analysis of how global attention contributes to multi-view

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2026

High-Quality Full-Head 3D Avatar Generation from Any Single Portrait Image

Yujie Gao, ChenCheng Wang, Xianbing Sun, Jiahui Zhan, Wentao Wang, Yiyi Zhang +3

AAAI 2026technical

In this work, we introduce a novel high-fidelity full-head 3D avatar generation method from a single image, regardless of perspective, style, expression, or accessories. Prior works often fail to preserve consistent head geometry and facial details, primarily due to their limited capacity in modelin

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