Editing Text in the Wild

@article{Wu2019EditingTI,
  title={Editing Text in the Wild},
  author={Liang Wu and Chengquan Zhang and Jiaming Liu and Junyu Han and Jingtuo Liu and Errui Ding and Xiang Bai},
  journal={Proceedings of the 27th ACM International Conference on Multimedia},
  year={2019}
}
  • Liang Wu, Chengquan Zhang, X. Bai
  • Published 8 August 2019
  • Computer Science
  • Proceedings of the 27th ACM International Conference on Multimedia
In this paper, we are interested in editing text in natural images, which aims to replace or modify a word in the source image with another one while maintaining its realistic look. [] Key Method Specifically, we propose an end-to-end trainable style retention network (SRNet) that consists of three modules: text conversion module, background inpainting module and fusion module. The text conversion module changes the text content of the source image into the target text while keeping the original text style…

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