  Chinese, Japanese, and Korean (CJK), with a vast number of native speakers,
have profound influence on society and culture. The typesetting of CJK
languages carries a wide range of requirements due to the complexity of their
scripts and unique literary traditions. A critical aspect of this typesetting
process is that CJK fonts need to provide a set of consistent-looking glyphs
for approximately one hundred thousand characters. However, creating such a
font is inherently labor-intensive and expensive, which significantly hampers
the development of new CJK fonts for typesetting, historical, aesthetic, or
artistic purposes. To bridge this gap, we are motivated by recent advancements
in diffusion-based generative models and propose a novel diffusion method for
generating glyphs in a targeted style from a single conditioned, standard glyph
form. Our experiments show that our method is capable of generating fonts of
both printed and hand-written styles, the latter of which presents a greater
challenge. Moreover, our approach shows remarkable zero-shot generalization
capabilities for non-CJK but Chinese-inspired scripts. We also show our method
facilitates smooth style interpolation and generates bitmap images suitable for
vectorization, which is crucial in the font creation process. In summary, our
proposed method opens the door to high-quality, generative model-assisted font
creation for CJK characters, for both typesetting and artistic endeavors.
