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A feed-forward foundation model designed to reconstruct 3D scenes from continuous streaming input
A feed-forward foundation model designed to reconstruct 3D scenes from continuous streaming input. Built with Python and trained on large-scale data, it enables real-time spatial understanding for robotics and computer vision applications. Open-source project with growing community adoption.
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Not enough observed signals for a Pulse Index (needs 2+ signal families).
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