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Utkarsh Saxena

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  1. arXiv

    3D reconstruction drops dense attention layer by layer: up to 5.6x end-to-end speedup at 1,024 views

    Zebra3D swaps dense global attention in pretrained 3D reconstruction models for a per-layer mix of linear and tile-sparse attention, holding pose accuracy close to dense models at roughly 94% mean attention sparsity and reaching up to 5.6x end-to-end speedup at 1,024 views.

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