Image-to-Image Translation

Image-to-Image Translation is a task in the field of computer vision and machine learning that aims to learn the mapping relationship between input images and output images to achieve specific goals, such as style transfer, data augmentation, or image restoration. By constructing complex models, this task can effectively transform the visual attributes of images, enhancing the diversity and flexibility of image processing, and has a wide range of application values.