Neural style transfer is a popular technology in computer vision, which aims to transfer the style of one image to another while preserving the content of the target image. It uses deep-learning models to separate and recombine the content and style features of images, creating new images with unique artistic styles. This technology has been widely used in the field of digital art, photo editing, and graphic design.
