An emotional expression framework based on social media style transfer

Abstract

Recently, artificial intelligence has great effort in social media. Style transfer is a subtask of deep learning, can transform images shared on social media into works with artistic painting style transfer through image recognition technology, which creating amazing effects. However, the current style transfer technology is still in the early stages of development, and can only convert the shared picture into the style of a certain artwork, but does not have the ability to convert the emotional expression of the picture. In this paper, we proposes an emotional expression framework based on social media style transfer, conducted an experiment in the LFW database where the same portrait photo can express different emotions by combining it with images of different styles and realizes the style transfer technology for emotion and emotional expression. Therefore, the application of style transfer technology in social media is of great value and can promote the intelligent development of social media.