InteriorGS 3D Indoor Scene Dataset

InteriorGS is a 3D indoor scene dataset designed to overcome the limitations of existing indoor scene datasets in terms of geometric completeness, semantic annotation, and spatial interaction capabilities.

This dataset provides high-quality 3D Gaussian scattering (3DGS) representations, along with instance-level semantic bounding boxes and occupancy maps indicating the areas accessible to agents. The dataset includes 1,000 high-quality indoor scenes and their corresponding floor plans, covering over 80 environment types, including residences, convenience stores, wedding halls, and museums. The dataset also includes over 554,000 object instances across 755 object categories.