FaceMore: A Face Beautification Platform on the Cloud

Face More, a cloud-based face beautification platform for intelligent face manipulation, is developed in this work. It provides flexible and efficient cloud API to develop automatic or interactive face retouching applications. A web-site, www.facemore.net, is built on Face More, where user can upload images and obtain various online face beautification services. To obtain automatic inhomogeneous editing effects in a natural and efficient manner, we analyze the novel tool, called region-aware mask, from semi-supervised learning perspective. We reformulate the optimized-based model of region-aware mask using label propagation, and propose a fast approximate algorithm for mask generation, which leads to about 40% speed improvement while maintain high visual quality for face beatification. Qualitative and quantitative evaluations were performed for mask generation and face beatification. Comparisons with five representative commercial systems, including PicTreat, Portraiture, Portrait+, Meitu and Baidu Motu, illustrate the effectiveness of our system for image enhancement of facial lighting, smoothness and color.