Abstract
In recent years, the in-depth study and rapid development of computer vision technology has become an important aspect of image style transfer technology. Use the style transfer algorithm to complete the conversion of the artistic style of the image, and use computer tools to automatically convert the style of other images to the input image, so that the two styles are exactly the same, but the original image will remain unchanged, and this style will be overwritten in other images. In order to complete the reconstruction process, while protecting the original content of the image, there are other style transfer algorithms for visual effects. Computer vision, film and television production and other fields play an unusual role. The style transfer algorithm transfers the painting elements to the movie, and produces a unique animation special effect art effect, thereby providing new ideas and situations for the animation pattern special effect design of the artificial intelligence pattern style transfer algorithm. Therefore, exploring the theoretical approach of pattern style transfer algorithm and improving the diversity of pattern style transfer has greater trade value and industrial application value. Based on the deep learning theory, this paper describes the training model and deep learning framework of the convolutional neural network model VGG19, and introduces the basic technology in the application process in detail, and then applies the animation pattern special effect style transfer algorithm. Summarize the advantages of the style transfer algorithm in the design of animation pattern special effects.
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