IntelliScene 3.0 proposes three key designs: 3D-aware input encoding (encoded point clouds and metadata of scenes and assets), cross-modal hierarchical pose prediction (from coarse to fine), and training on a high-quality placement dataset to internalize spatial reasoning into the model weights.