SpatialLM: Training Large Language Models for Structured Indoor Modeling
September 14
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16:15 - 16:50
Location: Venue 2 - 258
SpatialLM is a large language model designed to process 3D point cloud data and generate structured 3D scene understanding outputs. These outputs include architectural elements like walls, doors, windows, and furniture arrangements with precise spatial relationships. This presentation explores the novel approaches for training language models to understand spatial geometry, the challenges of bridging natural language processing with 3D spatial reasoning, and practical applications in robotics, AR/VR, and smart building management systems.