ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge

Tingting Liu, Chengyu Wang 0001, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang 0007, Ming Gao 0001, Yanghua Xiao. ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022. pages 881-888, Association for Computational Linguistics, 2022. [doi]

@inproceedings{Liu0ZLQ00X22,
  title = {ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge},
  author = {Tingting Liu and Chengyu Wang 0001 and Xiangru Zhu and Lei Li and Minghui Qiu and Jun Huang 0007 and Ming Gao 0001 and Yanghua Xiao},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-emnlp.62},
  researchr = {https://researchr.org/publication/Liu0ZLQ00X22},
  cites = {0},
  citedby = {0},
  pages = {881-888},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}