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Zhengyu Lou

1 accepted papers

2026

AVGGT: Rethinking Global Attention for Accelerating VGGT

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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