关键词: 图像风格迁移, 线性变换, 视频风格迁移

Abstract:

Most image style transfer tasks are that one model can only correspond to one style, which is inefficient in practical application scenarios. This paper proposes a fast style transfer method of single model and multi-style, which can adapt to any style with only one model. A group of linear changes are used to transform content features and style features respectively, and a combined style loss function is used to reconstruct the image. The Avatar-net method, AdaIN method, Johnson’s fast style transfer method and the linear transformation based style transfer method are analyzed and compared. Using PSNR and SSIM as evaluation indexes, it is concluded that the style transfer method in this paper is better. PSNR reaches 11.591 dB and SSIM reaches 0.499, and the application of this method and video style transfer also have good performance.

Key words: image style transfer, linear transformation, video style transfer