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Zebra3D: Efficient Hybrid Foundation Models For Scalable 3D Reconstruction

Saxena, Utkarsh et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Feed-forward 3D foundation models reconstruct scenes from unposed images, but the quadratic cost of global attention limits their scalability to large view sets. We present Zebra3D, a layerwise sparse-linear hybrid attention framework that improves the efficiency of pretrained 3D foundation models w
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