Spring 2025 GRASP on Robotics: Lingjie Liu, University of Pennsylvania, “Towards Next-Gen 3D Reconstruction and Generation: From Visual Fidelity to Multimodal and Physical Understanding”
April 11 at 10:30 AM - 11:45 AM
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom.
ABSTRACT
Recent years have witnessed remarkable progress in 3D reconstruction and generation. However, most existing methods primarily focus on modeling geometry and appearance. I believe the next generation of 3D reconstruction and generation should go further in two key directions. First, it should be well-aligned with other modalities—such as language and images—so that 3D representations can play an important role in the multi-modal era. Second, it should incorporate physical understanding to ensure reconstructions and generations are physically plausible, which will ultimately make them more applicable in robotics. In this talk, I will present our recent efforts toward these goals and discuss the challenges that lie ahead.
Lingjie Liu
University of Pennsylvania
Lingjie Liu is the Aravind K. Joshi Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania, where she leads the Penn Computer Graphics Lab. and she is also a member of the General Robotics, Automation, Sensing & Perception (GRASP) Lab. Previously, she was a Lise Meitner Postdoctoral Research Fellow at Max Planck Institute for Informatics. She received her Ph.D. degree at the University of Hong Kong in 2019. Her research interests are at the interface of Computer Graphics, Computer Vision, and AI, with a focus on Neural Scene Representations, Neural Rendering, Human Performance Modeling and Capture, and 3D Reconstruction.