Cross-language font style transfer

Abstract

In this paper, we propose a cross-language font style transfer system that can synthesize a new font by observing only a few samples from another language. Automatic font synthesis is a challenging task and has attracted much research interest. Most previous works addressed this problem by transferring the style of the given subset to the content of unseen ones. Nevertheless, they only focused on the font style transfer in the same language. In many cases, we need to learn font style from one language and then apply it to other languages. Existing methods make this difficult to accomplish because of the abstraction of style and language differences. To address this problem, we specifically designed the network into a multi-level attention form to capture both local and global features of the font style. To validate the generative ability of our model, we constructed an experimental font dataset of 847 fonts, each containing English and Chinese characters with the same style. Results show that our model generates 80.3% of users’ preferred images compared with state-of-the-art models.

Design and Implementation of Dongba Character Font Style Transfer Model Based on AFGAN

“…In order to overcome the phenomenon of artifacts and blurring at the bends of the strokes in the generation process of Cuan fonts, Yao et al proposed a style transfer model of Cuan fonts based on a dense adaptive generation adversarial network [ 18 ]. Li et al developed a novel FTransGAN and applied an end-to-end solution to cross-language font style transfer for the first time [ 20 ].…”

“…The attention mechanism was first proposed in the field of natural language processing to mitigate the damage caused by a fixed-length vector in the encoder–decoder architecture [ 20 ]. Later, Xu et al applied attention networks to the field of computer vision to solve the problem of image captioning [ 29 ].…”

“…At present, relevant scholarly research on font style transfer mainly focuses on the artistic transformation of Chinese characters and the generation of calligraphy fonts [ 3 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ], the font style transfer of Mongolian [ 19 ], the font style conversion of English and Chinese [ 20 ], and the generation of handwritten Western Xia characters [ 21 ]. However, there is currently no research on the font style transfer of Dongba characters.…”