Patent ID: 11907839
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
providing, by a computing system, an input image as input to a machine learning model to generate a latent space representation of the input image;
providing, by the computing system, the latent space representation of the input image as input to a trained generator neural network implemented by the computing system;
generating, by the generator neural network, a generated image based on the latent space representation of the input image;
generating, by the computing system, a first scale representation of the input image and a second scale representation of the input image;
generating, by the computing system, a first scale representation of the generated image and a second scale representation of the generated image;
generating, by the computing system, a first combined image based on the first scale representation of the input image, the first scale representation of the generated image, and a first value;
generating, by the computing system, a second combined image based on the second scale representation of the input image, the second scale representation of the generated image, and a second value different from the first value; and
blending, by the computing system, the first combined image with the second combined image to generate an output image.