Enhancing Baidu Multimodal Advertisement with Chinese Text-to-Image Generation via Bilingual Alignment and Caption Synthesis.

Kang Zhao|Xinyu Zhao|Zhipeng Jin|Yi Yang|Wen Tao|Cong Han|Shuanglong Li|Lin Liu


Anthology ID:DBLP:conf/sigir/ZhaoZJYTHLL24
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2855-2859
URL:https://doi.org/10.1145/3626772.3661350
DOI:https://doi.org/10.1145/3626772.3661350
DBLP:conf/sigir/ZhaoZJYTHLL24
BibTeX:
@inproceedings{zhao-2024-enhancing, author = {Kang Zhao and Xinyu Zhao and Zhipeng Jin and Yi Yang and Wen Tao and Cong Han and Shuanglong Li and Lin Liu}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{Enhancing Baidu Multimodal Advertisement with Chinese Text-to-Image Generation via Bilingual Alignment and Caption Synthesis}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {2855--2859}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3661350}, doi = {https://doi.org/10.1145/3626772.3661350} }