ShaoLin Zhu, Shangjie Li, Yikun Lei, Deyi Xiong. PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 13433-13447, Association for Computational Linguistics, 2023. [doi]
@inproceedings{ZhuLLX23,
title = {PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation},
author = {ShaoLin Zhu and Shangjie Li and Yikun Lei and Deyi Xiong},
year = {2023},
url = {https://aclanthology.org/2023.acl-long.751},
researchr = {https://researchr.org/publication/ZhuLLX23},
cites = {0},
citedby = {0},
pages = {13433-13447},
booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023},
editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
publisher = {Association for Computational Linguistics},
isbn = {978-1-959429-72-2},
}