Abstract

Data, especially large-scale labeled data, has been a critical driver of progress in AI. However, many important tasks remain starved of high-quality data. Synthetic data from computer graphics is a promising solution to this challenge, but still remains in limited use. This talk will present our work on Infinigen, a procedural generator designed to create unlimited high-quality 3D data and environments for computer vision and robotics. Infinigen is entirely procedural: every asset, from shape to texture, is generated from scratch via randomized mathematical rules. I will provide an overview of Infinigen along with its latest developments and applications. 

About the speaker

Jia Deng is a Professor of Computer Science at Princeton University. His current research interests include computer vision and robotics. He received his Ph.D. from Princeton University and his B.Eng. from Tsinghua University, both in computer science. He is a recipient of the Sloan Research Fellowship, the NSF CAREER award, and the ONR Young Investigator award.