Font generation is a challenging problem especially for some writing systems that consist of
a large number of characters and has attracted a lot of attention in recent years. However …

Automatic font generation remains a challenging research issue due to the large amounts of
characters with complicated structures. Typically, only a few samples can serve as the …

Few-shot font generation (FFG), which aims to generate a new font with a few examples, is
gaining increasing attention due to the significant reduction in labor cost. A typical FFG …

Content and style disentanglement is an effective way to achieve few-shot font generation. It
allows to transfer the style of the font image in a source domain to the style defined with a …

Automatic generation of artistic glyph images is a challenging task that attracts many
research interests. Previous methods either are specifically designed for shape synthesis or …

Automatic font generation based on deep learning has aroused a lot of interest in the last
decade. However, only a few recently-reported approaches are capable of directly …

Automatic generation of Chinese fonts that consist of large numbers of glyphs with
complicated structures is now still a challenging and ongoing problem in areas of AI and …

Generating a new font library is a very labor-intensive and time-consuming job for glyph-rich
scripts. Despite the remarkable success of existing font generation methods, they have …

Automatic font generation is an imitation task, which aims to create a font library that mimics
the style of reference images while preserving the content from source images. Although …

Automatic generation of fonts can be an important aid to typeface design. Many current
approaches regard glyphs as pixelated images, which present artifacts when scaling and …