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

Claim 0:
1. A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause a computer device to:
prune channels of a noise-to-image generative adversarial neural network (GAN) based on outgoing channel weights corresponding to the channels to generate a pruned GAN; and
generate a distilled GAN from the pruned GAN by learning parameters for the distilled GAN that cause outputs of the distilled GAN to mimic outputs 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.