Neural Stylization

Neural Stylization is an image processing technique based on deep learning. It uses neural network models to separate and recombine the content of a source image with the style of a target image, achieving the transfer and transformation of artistic styles. The aim of this technology is to maintain the structural content of the image while endowing it with new visual forms, and it is widely applied in digital art creation, image editing, and augmented reality, enhancing user experience and the diversity of creative expression.