Deep learning has achieved groundbreaking performance in many 2D vision tasks in recent years. With more and more 3D data available, such as that captured by LiDAR, the next research trend is to conduct advanced 3D perception and generation tasks. The objective of this project is to study the state-of-the-art 3D foundation models and apply them for tasks that require spatial intelligence.

This is a "research project" best suited for students who are independent and willing to take on challenges with high expectations for the grade when fulfilled the somewhat challenging requirements. Under-performing is likely to fail to meet the passing requirements. It is also a good practice for students who wish to pursue further study at a postgraduate/PhD level.