Learning to Generate 3D Shapes and Scenes

Jia Deng is an Assistant Professor of Computer Science at Princeton University. He direct the Princeton Vision & Learning Lab. His current interests include 3D vision, object recognition, action recognition, and automated theorem proving. 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, the ONR Young Investigator award, an ICCV Marr Prize, and two ECCV Best Paper Awards.

Andreas Geiger is a Professor of computer science heading the Autonomous Vision Group (AVG). His group is part of the University of Tübingen and the MPI for Intelligent Systems located in Tübingen, Germany at the heart of CyberValley. He is deputy head of the department of computer science at the University of Tübingen, PI in the cluster of excellence `ML in Science' and the CRC `Robust Vision'. He is also an ELLIS fellow, board member, and coordinator of the ELLIS PhD program. His research group is developing machine learning models for computer vision, natural language and robotics with applications in self-driving, VR/AR and scientific document analysis.

Ruizhen Hu is an Associate Professor of College of Computer Science & Software Engineering at Shenzhen University and Deputy Director of the Visual Computing Research Center (VCC). Before coming to Shenzhen Uni- versity, she was an Assistant Researcher at Shenzhen In- stitutes of Advanced Technology (SIAT). She obtained her Ph.D. degree in Applied Math under the supervision of Prof. Ligang Liu in June 2015 from the Department of Mathematics at Zhejiang University, China. From Oct. 2012 to Oct. 2014, she spent two years visiting the GrUVi Lab in the School of Computing Science at Simon Fraser University, Canada, under the supervision of Prof. Hao (Richard) Zhang. The visit was supported by China Scholarship Council (CSC). Her research interests are in computer graphics, with a recent focus on applying machine learning to advance the understanding and generative modeling of visual data including 3D shapes and indoor scenes.

Zhengqi Li is a research scientist at Google Research. His research interests span 3D/4D computer vision, epsically for images and videos in the wild. He received his CS Ph.D. degree at Cornell University where he was advised by Prof. Noah Snavely. He received his Bachelor of Computer Engineering with High Distinction at University of Minnesota, Twin Cities where he was advised by Prof. Stergios Roumeliotis and was a research assistant at MARS Lab and Google Project Tango (now ARCore). He was also a member of Robotic Sensor Networks (RSN) Lab where he worked closely with Prof. Volkan Isler. He is a recipient of the CVPR 2019 Best Paper Hornorable Mention, 2020 Google Ph.D. Fellowship, 2020 Adobe Research Fellowship, and 2021 Baidu Global Top 100 Chinese Rising Stars in AI.

Adriana Schulz is an assistant professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington and a member of the Computer Graphics Group (GRAIL). She is also co-director of the Digital Fabrication Center at UW (DFab) and the director of WiGRAPH. Her research group creates manufacturing design systems that will revolutionize how we build physical artifacts, and builds next-generation design tools for manufacturing that fundamentally change what can be made, and by whom.

Accepted Papers