METHOD AND APPARATUS FOR GENERATING IMAGE, DEVICE, MEDIUM AND PROGRAM

The present disclosure discloses a method and apparatus for generating an image, a device and a medium, and relates to the field of artificial intelligence deep learning and image processing. A specific implementation includes: acquiring a first random vector set; determining an image category to which at least one random vector in the first random vector set belongs, based on a trained classifier; and inputting a random vector belonging to the image category into a trained image generator to generate a virtual image belonging to the image category. Through the technical solution in the present disclosure, a large number of images that are definitely classified can be automatically generated, and thus, the image diversity is improved and the cost of the image classification is reduced.