A computer-implemented method, a computing system, and a computer program product for generating new items compatible with given items may use data associated with a plurality of images and random noise data associated with a random noise image to train an adversarial network including a series of generator networks and a series of discriminator networks corresponding to the series of generator networks by modifying, using a loss function of the adversarial network that depends on a compatibility of the images, one or more parameters of the series of generator networks. The series of generator networks may generate a generated image associated with a generated item different than the given items.