AI RESEARCH
TurboVGGT: Fast Visual Geometry Reconstruction with Adaptive Alternating Attention
arXiv CS.CV
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ArXi:2605.14315v1 Announce Type: new Recent feed-forward 3D reconstruction methods, such as visual geometry transformers, have substantially advanced the traditional per-scene optimization paradigm by enabling effective multi-view reconstruction in a single forward pass. However, most existing methods struggle to achieve a balance between reconstruction quality and computational efficiency, which limits their scalability and efficiency.