DriveGAN: Towards a Controllable High-Quality Neural Simulation

Author(s)
Kim, Seung Wook; Philion, Jonah; Torralba, Antonio; Fidler, Sanja
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Date issued
2021
URI
https://hdl.handle.net/1721.1/143990
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Journal
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Kim, Seung Wook, Philion, Jonah, Torralba, Antonio and Fidler, Sanja. 2021. "DriveGAN: Towards a Controllable High-Quality Neural Simulation." 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Version: Author's final manuscript
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