  Today's image style transfer methods have difficulty retaining humans face
individual features after the whole stylizing process. This occurs because the
features like face geometry and people's expressions are not captured by the
general-purpose image classifiers like the VGG-19 pre-trained models. This
paper proposes the use of embeddings from an auxiliary pre-trained face
recognition model to encourage the algorithm to propagate human face features
from the content image to the final stylized result.
