Text Style Transfer With Decorative Elements
Yuting,Ma1,2; Fan,Tang4; Weiming,Dong1,3; Changsheng,Xu1,3
2021-09
会议名称IEEE Workshop on Artificial Intelligence for Art Creation
会议录名称International Conference on Multimedia Information Processing and Retrieval
卷号0
期号0
页码1--7
会议日期September 10, 2021
会议地点Tokyo, Japan
出版地International Conference on Multimedia Information Processing and Retrieval
出版者International Conference on Multimedia Information Processing and Retrieval
摘要

The text rendered by special effects can give a rich visual experience. Text stylization can help users migrate their favorite styles to specified texts, improving production efficiency and saving design cost. This paper proposes a novel text stylization framework, which can transfer mixed text styles, including font glyph and fine decorations, to user-specified texts. The transfer of decorative elements is difficult due to the text is obscured by decorative elements to a certain extent. Our method is divided into three stages: firstly, the position of decorative elements in the image is extracted and retained; secondly,
the effects of font glyph and textures other than decorative elements are migrated; finally, a structure-aware strategy is used to reorganize the decorative elements to complete the entire stylization process. Experiments on open source text data sets demonstrated the advantages of our approach over other stateof-the-art style migration methods.

关键词text style transfer, decorative elements extraction, decoration recomposition
学科门类工学::计算机科学与技术(可授工学、理学学位)
DOI0
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收录类别EI
语种英语
七大方向——子方向分类计算机图形学与虚拟现实
引用统计
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/44792
专题多模态人工智能系统全国重点实验室_多媒体计算
作者单位1.NLPR, Institute of Automation, CAS
2.School of Artificial Intelligence, UCAS
3.CASIA-LLVision Joint Lab
4.School of Artificial Intelligence, Jilin University
第一作者单位模式识别国家重点实验室
推荐引用方式
GB/T 7714
Yuting,Ma,Fan,Tang,Weiming,Dong,et al. Text Style Transfer With Decorative Elements[C]. International Conference on Multimedia Information Processing and Retrieval:International Conference on Multimedia Information Processing and Retrieval,2021:1--7.
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