POFMakeup: A style transfer method for Peking Opera makeup

Abstract

When using standard neural network transfer methods for portrait style transfer, semantically correct transfers often cannot be guaranteed; the texture details in the style examples tend to be ignored. This paper proposes a style transfer method for Peking Opera faces called POFMakeup. This method can transfer the style of a portrait with a Peking Opera face to another portrait. This method uses two guides, namely, a position guide and an appearance guide. The position guide ensures semantic consistency in the transfer process, while the appearance guide ensures the appearance of the target subject can be preserved during transfer. The experimental results show that this method not only solves the problem of traditional portrait style transfer but also can quickly and perfectly realize the style transfer of the Peking Opera face. The proposed method showed a 17% improvement in structural similarity (SSIM) over conventional methods.