Spatioform (Spatial + Form) Lab

We explore new frontiers in understanding and synthesizing the 3D physical world. By integrating learning-based methods with high-fidelity physical simulation, we develop end-to-end pipelines for scene understanding and advanced engineering applications. Our research leverages Agentic AI to automate complex reasoning and design tasks, emphasizing scalable algorithms that bridge the gap between rapid prototyping and transformative real-world impact.

Current Members

• Xiaopan Chu — Graduate student, Research (Computer Vision)
• Bowen Shi — Graduate student, Research (Computer Vision)
• Qianyi Li — Graduate student, Research (Multi-Modal Machine Learning)
• Lasya Priya Patkam — Graduate student, Research (LLM in Robot Learning)

Former Members

• Yijie Chen — Independent Study, Beyond 2D: Creating 3D Augmented Reality from a Single RGB Image (Spring 2026)