Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention Based Full Semantic Information Mining

Ruijun Li, Weihua Li, Yi Yang, Quan Bai. Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention Based Full Semantic Information Mining. In Sankalp Khanna, Jian Cao 0001, Quan Bai, Guandong Xu, editors, PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I. Volume 13629 of Lecture Notes in Computer Science, pages 339-350, Springer, 2022. [doi]

@inproceedings{LiLYB22,
  title = {Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention Based Full Semantic Information Mining},
  author = {Ruijun Li and Weihua Li and Yi Yang and Quan Bai},
  year = {2022},
  doi = {10.1007/978-3-031-20862-1_25},
  url = {https://doi.org/10.1007/978-3-031-20862-1_25},
  researchr = {https://researchr.org/publication/LiLYB22},
  cites = {0},
  citedby = {0},
  pages = {339-350},
  booktitle = {PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I},
  editor = {Sankalp Khanna and Jian Cao 0001 and Quan Bai and Guandong Xu},
  volume = {13629},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-20862-1},
}