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Text Style Transfer based on Multi-factor Disentanglement and Mixture
Proceedings of the 30th ACM International Conference on Multimedia
Text style transfer aims to transfer the reference style of one text image to another text image. Previous works have only been able to transfer the style to a binary text image. In this paper, we propose a framework to disentangle the text images into three factors: text content, font, and style features, and then remix the factors of different images to transfer a new style. Both the reference and input text images have no style restrictions. Adversarial training through multi-factor crossdoi:10.1145/3503161.3548239 fatcat:7e2nkumntjcxrdrxcirdy2irmy