Proposes WorldString, a differentiable neural model for the state manifold of actionable physical objects learned directly from 3D or video data as a building block for world models.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A complete multi-modal photogrammetry pipeline that produced a 25-30 billion triangle 3D model of St. John's Co-Cathedral while addressing reflective surfaces and low-light conditions through strategic capture, AI denoising, and hybrid reconstruction.
citing papers explorer
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WorldString: Actionable World Representation
Proposes WorldString, a differentiable neural model for the state manifold of actionable physical objects learned directly from 3D or video data as a building block for world models.
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Large-Scale Photogrammetric Documentation of St. John's Co-Cathedral: A Workflow for Cultural Heritage Preservation
A complete multi-modal photogrammetry pipeline that produced a 25-30 billion triangle 3D model of St. John's Co-Cathedral while addressing reflective surfaces and low-light conditions through strategic capture, AI denoising, and hybrid reconstruction.