Abstract
We propose an efficient algorithm to embed a given image into the latent space of StyleGAN. This embedding enables semantic image editing operations that can be applied to existing photographs. Taking the StyleGAN trained on the FFHD dataset as an example, we show results for image morphing, style transfer, and expression transfer. Studying the results of the embedding algorithm provides valuable insights into the structure of the StyleGAN latent space. We propose a set of experiments to test what class of images can be embedded, how they are embedded, what latent space is suitable for embedding, and if the embedding is semantically meaningful.
Abstract (translated)
我们提出了一种将给定图像嵌入到Stylegan潜在空间的有效算法。这种嵌入允许对现有照片进行语义图像编辑操作。以在ffhd数据集上训练的Stylegan为例，我们展示了图像变形、样式转换和表达式转换的结果。通过对嵌入算法的研究，可以对Stylegan隐空间的结构进行深入的研究。我们提出了一套实验来测试什么样的图像可以嵌入，如何嵌入，什么样的潜在空间适合嵌入，以及嵌入是否具有语义意义。
URL
https://arxiv.org/abs/1904.03189
