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ArrangementNet: Learning Scene Arrangements for Vectorized Indoor Scene Modeling
DescriptionWe present a novel vectorized indoor modeling approach that converts point clouds into building information models (BIM) with concise and semantically segmented polygonal meshes. We propose ArrangementNet to estimate scene arrangements and faithfully model challenging scenes from laser scans or multiview stereo. We show significant improvement in BIM model reconstruction.
Event Type
Technical Paper
TimeMonday, 7 August 20232:22pm - 2:33pm PDT
LocationRoom 502 AB
Interest Areas
Research & Education
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Keywords
Modeling
Video
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