Image generation method and device

The invention provides an image generation method. The image generation method comprises the steps of obtaining a to-be-generated signal; inputting the signal to be generated into the first generator model to obtain a generated image output by the first generator model, wherein the first generator model is obtained by performing adversarial training based on a compression adversarial network formed by the first discriminator model and the pre-training discriminator model, the pre-training discriminator model is a pre-trained discriminator model, the first discriminator model and the pre-training discriminator model are respectively used for discriminating the output of the first generator model to obtain a discrimination signal, and the discrimination signal acts on the adversarial training process of the first generator model. According to the invention, starting from a teacher-student learning normal form, supervision of the pre-training discriminator model is introduced into the adversarial network, so the performance of the lightweight generative adversarial network is improved, and the lightweight generator has similar image generation capability to an original generator.