论文标题
逼真的文本替换为非均匀样式调理
Realistic text replacement with non-uniform style conditioning
论文作者
论文摘要
在这项工作中，我们研究了逼真的文本更换的可能性，其目的是用用户提供的文本替换图像中存在的文本。替换应以不允许将所得图像与原始图像区分开的方式进行。我们通过开发一个新型的非均匀样式调节层来实现这一目标，并将其应用于基于编码的基于编码器的体系结构。最终的模型是单阶段模型，没有后处理。所提出的模型实现了现实的文本替换，并且在ICDAR MLT上的现有方法胜过现有的方法。
In this work, we study the possibility of realistic text replacement, the goal of which is to replace text present in the image with user-supplied text. The replacement should be performed in a way that will not allow distinguishing the resulting image from the original one. We achieve this goal by developing a novel non-uniform style conditioning layer and apply it to an encoder-decoder ResNet based architecture. The resulting model is a single-stage model, with no post-processing. The proposed model achieves realistic text replacement and outperforms existing approaches on ICDAR MLT.
