论文标题
strokecoder：使用变压器从单个示例中产生的基于路径的图像生成
StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
论文作者
论文摘要
本文演示了如何使用变压器神经网络从基于单个路径的示例图像中学习生成模型。我们进一步展示了如何从示例图像中生成数据集，以及如何使用模型来生成大量偏差的图像，这仍然代表原始图像的样式和概念。
This paper demonstrates how a Transformer Neural Network can be used to learn a Generative Model from a single path-based example image. We further show how a data set can be generated from the example image and how the model can be used to generate a large set of deviated images, which still represent the original image's style and concept.
