Patent ID: 11880766
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for generating an image using a generative adversarial network comprising a generator neural network and a discriminator neural network, the method comprising:
obtaining an input image in a first domain and information about a target domain, wherein the first and target domains correspond to image styles;
producing an initial latent space representation of the input image by encoding the input image;
generating an initial output image by processing the initial latent space representation of the input image with the generator neural network;
computing, using the discriminator neural network, a score indicating whether the initial output image is in the target domain;
computing a loss based on the computed score;
minimizing the loss to compute an updated latent space representation of the input image; and
processing the updated latent space representation of the input image with the generator neural network to generate an output image in the target domain.