  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.
