DriveGAN: Towards a Controllable High-Quality Neural Simulation

Bibliographic Details
Main Authors:	Kim, Seung Wook (Author), Philion, Jonah (Author), Torralba, Antonio (Author), Fidler, Sanja (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE), 2022-07-22T17:10:28Z.
Subjects:	Article
Online Access:	Get fulltext


LEADER	00647 am a22001813u 4500
001	143990
042			\|a dc
100	1	0	\|a Kim, Seung Wook \|e author
700	1	0	\|a Philion, Jonah \|e author
700	1	0	\|a Torralba, Antonio \|e author
700	1	0	\|a Fidler, Sanja \|e author
245	0	0	\|a DriveGAN: Towards a Controllable High-Quality Neural Simulation
260			\|b Institute of Electrical and Electronics Engineers (IEEE), \|c 2022-07-22T17:10:28Z.
856			\|z Get fulltext \|u https://hdl.handle.net/1721.1/143990
546			\|a en
655	7		\|a Article
773			\|t 10.1109/CVPR46437.2021.00576
773			\|t 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Similar Items