论文标题
基于线搜索的功能转换，用于快速，稳定且可调的内容风格控制的感性转换
Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer
论文作者
论文摘要
逼真的样式转移是在将内容从一个图像中调整以以另一个图像的样式出现时合成现实的图像的任务。现代模型通常嵌入一个转换，该转换融合了描述内容图像和样式图像的功能，然后将结果功能解码为风格化的图像。我们引入了一种通用变换，该转换能够控制保留多少内容与注入风格的强度之间的平衡。我们提供了第一个实验，这些实验证明了跨不同样式转移模型的现有转换的性能，并证明了我们的转换如何同时运行快速运行，产生始终如一的合理结果并控制不同模型中内容和样式之间的平衡。为了支持重现我们的方法和模型，我们在https://github.com/chiutaiyin/ls-ft上共享代码。
Photorealistic style transfer is the task of synthesizing a realistic-looking image when adapting the content from one image to appear in the style of another image. Modern models commonly embed a transformation that fuses features describing the content image and style image and then decodes the resulting feature into a stylized image. We introduce a general-purpose transformation that enables controlling the balance between how much content is preserved and the strength of the infused style. We offer the first experiments that demonstrate the performance of existing transformations across different style transfer models and demonstrate how our transformation performs better in its ability to simultaneously run fast, produce consistently reasonable results, and control the balance between content and style in different models. To support reproducing our method and models, we share the code at https://github.com/chiutaiyin/LS-FT.
