Patent ID: 11948274
Assignee: PIXAR
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. The method of claim 10, wherein training the generative adversarial network comprises:
fixing the second set of parameters of the second neural network;
generating, by the generator, a first output image corresponding to a first input image using the first set of parameters;
receiving, by the discriminator, a first reference image corresponding to the first input image, and the first output image generated by the generator;
generating, by the discriminator, the quality metric based on the comparison of the first output image with the first reference image;
outputting the quality metric from the discriminator to the generator, wherein the generator updates the first set of parameters based on the quality metric;
fixing the first set of parameters of the first neural network;
receiving, by the generator, a second input image and a corresponding second reference image;
generating, by the generator, a second output image corresponding to the second input image by passing the second input image through the generator using the optimized first set of parameters;
receiving, by the discriminator, the second reference image, and the second output image;
generating a quality metric based on a comparison of the second output image with the second reference image; and
updating the second set of parameters based on the quality metric.