Queryable Semantic Topological Maps for Efficient 3D Scene Understanding

The core message of this paper is to introduce a novel pipeline that generates a natural language-queryable topological and semantic representation of a 3D indoor scene. The method extracts both the topology (rooms and transition regions) and semantic room labels from 3D indoor scenes, enabling efficient scene understanding and downstream applications like robot navigation.