DriveGAN: Towards a Controllable High-Quality Neural Simulation
Name
2104.15060.pdf
Description
Accepted version
Size
11.73 MB
Format
Adobe PDF
Checksum (MD5)
a7af51a4db9820f4f975573a527267a7
Author(s)
Kim, Seung Wook
Philion, Jonah
Torralba, Antonio
Fidler, Sanja
Date Issued
2021
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
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/CVPR46437.2021.00576
