Abstract
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.
Abstract (translated)
艺术文本样式转换是将样式从源图像迁移到目标文本以创建艺术排版的任务。最近的风格转移方法已经考虑了纹理控制，以提高可用性。然而，从形状变形的角度来控制风格的程度仍然是一个重要的公开挑战。在本文中，我们提出了第一个文本样式传输网络，它允许通过一个可调参数实时控制字形的关键文体程度。我们的主要贡献是一个新的双向形状匹配框架，以建立一个有效的图形样式映射在不同的变形水平，而没有配对的地面真相。基于这一思想，我们提出了一个尺度控制模块，使单个网络能够连续地描述样式图像的多尺度形状特征，并将这些特征传递给目标文本。该方法在生成多样性、可控性和高质量的风格化文本方面，显示了其优越性。
URL
https://arxiv.org/abs/1905.01354
