Arbitrary image style transfer is a challenging task which aims to stylize a content image conditioned on an arbitrary style image. In this task the content-style feature transformation is a critical component for a proper fusion of features. Existing feature transformation algorithms often suffer from unstable learning, loss of content and style details, and non-natural stroke patterns. To mitigate these issues, this paper proposes a parameter-free algorithm, Style Projection, for fast yet effective content-style transformation. To leverage the proposed Style Projection~component, this paper further presents a real-time feed-forward model for arbitrary style transfer, including a regularization for matching the content semantics between inputs and outputs. Extensive experiments have demonstrated the effectiveness and efficiency of the proposed method in terms of qualitative analysis, quantitative evaluation, and user study.

中文翻译：

---

用于任意风格转移的无参数风格投影

任意图像风格迁移是一项具有挑战性的任务，旨在对以任意风格图像为条件的内容图像进行风格化。在此任务中，内容样式特征转换是正确融合特征的关键组件。现有的特征转换算法经常受到不稳定的学习、内容和样式细节的丢失以及非自然笔画模式的影响。为了缓解这些问题，本文提出了一种无参数算法 Style Projection，用于快速而有效的内容样式转换。为了利用所提出的样式投影组件，本文进一步提出了一种用于任意样式转换的实时前馈模型，包括用于匹配输入和输出之间的内容语义的正则化。