CVPR · 2021 · Conference paper

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks

Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, J. Senthilnath, Xiaoli Li

Agency for Science, Technology and Research · Nanyang Technological University · Institute for Infocomm Research

Published in
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Date
2022-06-01
Citations
9
arXiv
2102.08577
Cite
@inproceedings{aung2021dogan,
  title = {DO-GAN: A Double Oracle Framework for Generative Adversarial Networks},
  author = {Aye Phyu Phyu Aung and Xinrun Wang and Runsheng Yu and Bo An and J. Senthilnath and Xiaoli Li},
  year = {2021},
  booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  eprint = {2102.08577},
  archivePrefix = {arXiv},
  doi = {10.1109/CVPR52688.2022.01099},
  url = {https://arxiv.org/abs/2102.08577},
}