Hardness on Style Transfer Deep Learning for Rococo Painting Masterpieces

Abstract

This paper considers the general adaptation of the application of raw painting images via style transfer. Experimental results show that both the previous studies style transfer using pre-trained CNN and style transfer using GAN has only different algorithms or structure but same problem. That is the un-general application in various painting styles. A striking difference between experiment results in Rococo painting style and experiment results in Impressionism painting style speak for the above problem. In particular, the derivation of awkward results for the application of style transfer method in Rococo painting style represents this kind of problem.