W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks

Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang. W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. In Long Cheng 0001, Andrew Chi-Sing Leung, Seiichi Ozawa, editors, Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part V. Volume 11305 of Lecture Notes in Computer Science, pages 483-493, Springer, 2018. [doi]

@inproceedings{JiangYHZ18,
  title = {W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks},
  author = {Haochuan Jiang and Guanyu Yang and Kaizhu Huang and Rui Zhang},
  year = {2018},
  doi = {10.1007/978-3-030-04221-9_43},
  url = {https://doi.org/10.1007/978-3-030-04221-9_43},
  researchr = {https://researchr.org/publication/JiangYHZ18},
  cites = {0},
  citedby = {0},
  pages = {483-493},
  booktitle = {Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part V},
  editor = {Long Cheng 0001 and Andrew Chi-Sing Leung and Seiichi Ozawa},
  volume = {11305},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-04221-9},
}