Portrait-Aware Artistic Style Transfer

Abstract

The goal of artistic style transfer is to transfer the style of artistic works into photos. However, the performances of existing style transfer algorithms on portraits are not very satisfactory, because the synthetic photo is either not sufficiently stylized or distorted severely in the portrait domain (i.e., foreground), which limits the use of style transfer for portraits. In this paper, we propose a novel portrait-aware artistic style transfer algorithm, which treats foreground and background differently. Particularly, we separate the foreground from the background, and apply fine-grained style transfer to the background and coarse-grained style transfer to the entire image at the same time, so that the artistic style of entire image can be transferred with the details of the portrait well preserved. Extensive experiments demonstrate the effectiveness of our proposed method.