【S4E2】Towards Learning a Driving Simulator from the Real World
#artificialintelligence #aigc #simulator #3d
Abstract:
A high-fidelity simulation platform has significant value for the development of autonomous driving. Conventional simulation platforms, manually crafted, often deviate from reality and entail substantial costs. In this talk, I will share our recent efforts towards constructing a high-fidelity driving simulation platform from the real world, powered by neural rendering technology. Specifically, I will present our work in both reconstructing and generating urban scenes with photorealistic appearance, rich semantics, and versatile control capabilities.
Bio:
Yiyi Liao is an assistant professor at Zhejiang University. Prior to that, she received her Ph.D. degree from Zhejiang University and subsequently worked as a Postdoc in MPI for Intelligent Systems and the University of Tübingen. Her research interest lies in 3D computer vision, including 3D scene understanding, 3D reconstruction, and 3D-aware image synthesis.