Research on Image Style Transfer Based on a Generative Model

Abstract

The generation of artificial intelligence technology is rapidly developing. As a representative, Sora created in text, image rendering, and video production shows excellent ability. This article discusses the image-style transmission algorithm based on generating a confrontation network (GAN) and compares it with the Sora model. Studies have shown that GAN performs well in image style transfer, especially in maintaining the consistency of the image content and generating high-quality images. In the future, the expected artificial intelligence technology will further improve the quality and diversity of generating content by combining the diffusion model and GAN and expanding its application potential in the fields of art creation and virtual reality.