4 papers
On the Generalization Capacities of MLLMs for Spatial Intelligence
Gongjie Zhang, Wenhao Li, Quanhao Qian +4
Multimodal Large Language Models (MLLMs) that directly process RGB inputs for tasks like 3D localization and navigation have shown remarkable potential. However, we argue that thes…
RoboSVG: A Unified Framework for Interactive SVG Generation with Multi-modal Guidance
Jiuniu Wang, Gongjie Zhang, Quanhao Qian +3
Scalable Vector Graphics (SVGs) are fundamental to digital design and robot control, encoding not only visual structure but also motion paths in interactive drawings. In this work,…
GP3: A 3D Geometry-Aware Policy with Multi-View Images for Robotic Manipulation
Quanhao Qian, Guoyang Zhao, Gongjie Zhang +4
Effective robotic manipulation relies on a precise understanding of 3D scene geometry, and one of the most straightforward ways to acquire such geometry is through multi-view obser…
Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting
Xingyu Miao, Haoran Duan, Quanhao Qian +6
Spatial intelligence is emerging as a transformative frontier in AI, yet it remains constrained by the scarcity of large-scale 3D datasets. Unlike the abundant 2D imagery, acquirin…