Domain changes in generative adversarial networks

A system comprising:

• a processor;
• and
• a memory storing instructions that, when executed by the processor, configure the system to perform operations comprising:
• generating, using a pre-trained generative adversarial network (GAN), a plurality of images, the pre-trained GAN trained on a first plurality of target images;
• determining a feature for each of the plurality of images;
• determining the feature for each of a second plurality of target images;
• matching, based on the feature, target images of the second plurality of target images with the plurality of images to generate a plurality of matched target images;
• and
• training a discriminator of the pre-trained GAN with the plurality of matched target images and the plurality of images.

A non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium including instructions that, when executed by a at least one computer, cause the at least one computer to perform operations comprising:

• generating, using a pre-trained generative adversarial network (GAN) trained on a plurality of first target images, a plurality of images;
• determining a feature for each of the plurality of images;
• determining the feature for each of a plurality of second target images;
• matching, based on the feature, second target images of the plurality of second target images with the plurality of images;
• and
• training a discriminator of the pre-trained GAN with the second target images and the plurality of images.