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BDAI重点实验室研究生沙龙第26期:Text2Poster: Laying out Stylized Texts on Retrieved Images
日期:2022-04-24访问量:

大数据管理与分析方法研究北京市重点实验室(BDAI)研究生沙龙由beat365体育亚洲官网在线下载师生组织定期举行。4月27日研讨会由宋睿华老师指导的学生金楚浩和严睿老师指导的学生孙宏达(在投工作)介绍自己的研究工作。欢迎同学们积极参与研讨!

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报告标题:Text2Poster: Laying out Stylized Texts on Retrieved Images

报告人:金楚浩,研究生二年级

导师:宋睿华

研究方向:多模态理解

摘要:Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience. In this paper, we propose a novel data-driven framework, called Text2Poster, to automatically generate visually-effective posters from textual information. Imitating the process of manual poster editing, our framework leverages a large-scale pretrained visual-textual model to retrieve background images from given texts, lays out the texts on the images iteratively by cascaded auto-encoders, and finally, stylizes the texts by a matching-based method. We learn the modules of the framework by weakly- and self-supervised learning strategies, mitigating the demand for labeled data. Both objective and subjective experiments demonstrate that our Text2Poster outperforms state-of-the-art methods, including academic research and commercial software, on the quality of generated posters.

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