公开(公告)号：US20220207355A1

公开(公告)日：2022-06-30

申请号：US17318658

申请日：2021-05-12

Applicant: Snap Inc.

Inventor： Sergey Demyanov ,  Konstantin Gudkov ,  Aleksei Stoliar ,  Roman Ushakov ,  Fedor Zhdanov

IPC: G06N3/08 ,  G06N3/04 ,  G06T11/60

Abstract: Systems and methods herein describe an image manipulation system for generating modified images using a generative adversarial network. The image manipulation system accesses a pre-trained generative adversarial network (GAN), fine-tunes the pre-trained GAN by training a portion of existing neural network layers of the pre-trained GAN and newly added layers of the pre-trained GAN on a secondary image domain, adjusts the weights of the fine-tuned GAN using the weights of the pre-trained GAN, and stores the fine-tuned GAN. An image transformation system uses the generated modified images to train a subsequent neural network, which can access a face from a client device and transform it to a domain of images used for GAN fine-tuning.