  Artistic text style transfer is the task of migrating the style from a source
image to the target text to create artistic typography. Recent style transfer
methods have considered texture control to enhance usability. However,
controlling the stylistic degree in terms of shape deformation remains an
important open challenge. In this paper, we present the first text style
transfer network that allows for real-time control of the crucial stylistic
degree of the glyph through an adjustable parameter. Our key contribution is a
novel bidirectional shape matching framework to establish an effective
glyph-style mapping at various deformation levels without paired ground truth.
Based on this idea, we propose a scale-controllable module to empower a single
network to continuously characterize the multi-scale shape features of the
style image and transfer these features to the target text. The proposed method
demonstrates its superiority over previous state-of-the-arts in generating
diverse, controllable and high-quality stylized text.
