Zirui Wu received his B.Sc. degree in Computer Science and Technology from Beijing Institute of Technology, China.
He is currently pursuing his Ph.D. degree in robotics and autonomous systems (ROAS) at the Hong Kong University of Science and Technology (Guangzhou), co-supervised by Prof. Martin R. Oswald (the University of Amsterdam) and Prof. Jie Song.
During 2024-2025, he was a reserach intern at NIO, worked with Kang Xu on specular neural inverse rendering in driving scenarios.
We propose a real-time approximated global illumination method for 3D Gaussian inverse rendering. The key idea is to leverage indirect emissors in the screen space to approximate the global illumination effect.
We propose an autonomous driving simulator based upon neural radiance fields (NeRFs). Compared with existing works, ours has three notable features: (1) Instance-aware. (2) Modular. (3) Realistic. Our simulator achieves state-of-the-art photorealism results given the best module selection. Our simulator will be open-sourced while most of our counterparts are not.