In this paper, we propose an approach to obtain a personalized generative
prior with explicit control over a set of attributes. We build upon MyStyle, a
recently introduced method, that tunes the weights of a pre-trained StyleGAN
face generator on a few images of an individual. This system allows
synthesizing, editing, and enhancing images of the target individual with high
fidelity to their facial features. However, MyStyle does not demonstrate
precise control over the attributes of the generated images. We propose to
address this problem through a novel optimization system that organizes the
latent space in addition to tuning the generator. Our key contribution is to
formulate a loss that arranges the latent codes, corresponding to the input
images, along a set of specific directions according to their attributes. We
demonstrate that our approach, dubbed MyStyle++, is able to synthesize, edit,
and enhance images of an individual with great control over the attributes,
while preserving the unique facial characteristics of that individual.

本文提出了一种个性化生成先验的方法，该方法可以显式地控制一组属性。我们在 MyStyle 的基础上构建，提出了一个新的优化系统，该系统对潜在空间进行组织，并提出一种损失，使其沿着一组特定方向对应于其属性的潜在代码。我们展示了我们的方法可以合成，编辑和增强个人图像，并对属性具有很好的控制，同时保留该个人的独特面部特征。