Silhouette Photo Style Transfer

Abstract

Silhouette photography is popular among photographers. However, it is hard for ordinary users to shoot this kind of photos because of the limitations of cameras, weather and skills. In this work, we propose an automatic photo style transfer approach that can generate realistic silhouette images. First we present a sky segmentation method to divide an input image into an object foreground and a sky background. Then, for the background, we implement a statistic color transfer method using a specified sky photo. Finally, in order to generate natural results, we develop an adaptive approach to adjust the color of the object foreground considering the ambient color computed from the stylized background. The experimental results show that our methods can achieve satisfactory sky segmentation results and generate aesthetically pleasing silhouette photos.