Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein. Efficient Geometry-aware 3D Generative Adversarial Networks. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 16102-16112, IEEE, 2022. [doi]
@inproceedings{ChanLCNPMGGTKKW22,
title = {Efficient Geometry-aware 3D Generative Adversarial Networks},
author = {Eric R. Chan and Connor Z. Lin and Matthew A. Chan and Koki Nagano and Boxiao Pan and Shalini De Mello and Orazio Gallo and Leonidas J. Guibas and Jonathan Tremblay and Sameh Khamis and Tero Karras and Gordon Wetzstein},
year = {2022},
doi = {10.1109/CVPR52688.2022.01565},
url = {https://doi.org/10.1109/CVPR52688.2022.01565},
researchr = {https://researchr.org/publication/ChanLCNPMGGTKKW22},
cites = {0},
citedby = {0},
pages = {16102-16112},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
publisher = {IEEE},
isbn = {978-1-6654-6946-3},
}