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Jing-Ke Zhou

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#artificial intelligence Preprint Sep 2026

Think Locally, Refine Globally for Memory-Efficient 3D Reconstruction

We propose LoG-VGGT, a memory-efficient framework for long-sequence 3D reconstruction that balances local temporal modeling with global camera consistency. Instead of relying on full global attention, our method introduces cross-window attention at a small subset of transformer blocks, enabling effective information pr...

Jing-Ke Zhou, Chen-Hang Ma, Zhi-Zhou Zhong et al. · 1 citation

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