Conditional Image Generation

Conditional image generation is a task in the field of computer vision that aims to generate new images from a dataset based on given class conditions. This task achieves high-quality synthesis of images for specific categories by learning the conditional distribution between categories and images, and it has significant application value, such as data augmentation, image editing, and creative design.