Style Transfer Using Whitening and Coloring to Realize Feature Transformation
Sijia Li, Chen Wenbai · Journal of Physics Conference Series · 2020
Abstract This paper proposes a general image style transfer method based on VGG network. This method does not need to learn and pre-train any kind of style in advance. The algorithm mainly implements the style transfer task by reconstructing the automatic decoder. In the process of feature extraction, the algorithm matches the content features and style features through whitening and coloring. We conducted a series of experiments with different photographic images. The experimental results show that our method has a simple training process, low computational complexity and high computational speed and excellent generalization ability.