Patent ID: 11934958
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A system comprising:
one or more memory devices comprising a noise-to-image generative adversarial neural network (GAN) comprising a set of channels; and
one or more processors configured to cause the system to:
prune the noise-to-image GAN to generate a pruned GAN by removing a subset of channels from the noise-to-image GAN;
generate a distilled GAN from the pruned GAN by learning one or more parameters for the distilled GAN that cause the distilled GAN to generate an output that mimics an output of the noise-to-image GAN utilizing at least one knowledge distillation loss between:
a foreground mask from an image generated utilizing the noise-to-image GAN; and
an additional foreground mask from an additional image generated utilizing the pruned GAN.