2015年Gatys等人提出的图像艺术化技术，通过卷积神经网络的Gram矩阵匹配内容图与风格图的特征分布，实现图像风格迁移
In 2015, Gatys et al. proposed neural style transfer, using the Gram matrix of convolutional neural networks to match the feature distributions of content and style images