BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis
- DOI
- 10.1007/978-3-031-14903-0_16
- Published
- 2022
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-14903-0_16,
title = {BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis},
author = {Ting Yang and Xiaolin Tian and Nan Jia and Yuan Gao and Licheng Jiao},
year = {2022},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-14903-0_16},
url = {https://doi.org/10.1007/978-3-031-14903-0_16}
}RIS
TY - JOUR TI - BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis AU - Ting Yang AU - Xiaolin Tian AU - Nan Jia AU - Yuan Gao AU - Licheng Jiao PY - 2022 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-14903-0_16 UR - https://doi.org/10.1007/978-3-031-14903-0_16 ER -
APA
Yang, T., Tian, X., Jia, N., Gao, Y., & Jiao, L. (2022). BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-14903-0_16
Source records
- crossref · retrieved 2026-09-25T18:13:51.359Z