PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation

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]

Authors

ShaoLin Zhu

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Shangjie Li

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Yikun Lei

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Deyi Xiong

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