Image processing method and device, equipment, storage medium and program product

The invention relates to an image processing method and device, equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence. The method comprises the following steps: inputting a sample carrier image into a feature extraction network in an encoder model to obtain a sample space feature of the sample carrier image; inputting sample embedded information and the sample spatial features into an image reconstruction network in the encoder model to obtain a sample reconstruction image; inputting the sample reconstruction image into a decoder model to obtain sample reconstruction embedding information; inputting the sample reconstruction image and the sample carrier image into a discriminator model to obtain respective discrimination results of the sample reconstruction image and the sample carrier image; and training the encoder model, the decoder model and the discriminator model in a progressive generative adversarial learning mode. According to the scheme, the