The age-old beauty industry is getting a dynamic makeover from the thousands of bloggers sharing beauty and makeup tips and techniques and cosmetic preferences on the Internet. But when it comes to visualizing questions like "which shade of lipstick should I try?" or "why does my makeup look so different from the makeup in the demo video?" AI may be better equipped to provide the answers. A multi-institute research group recently released the paper PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer, which proposes a novel method for transferring makeup styles from a reference picture to a user's source image. PSGAN can not only transfer the makeup styles from reference images which contain different poses and facial expressions from the source image, it can also process partial and interpolated makeup styles from multiple reference images.