公开(公告)号：US20250037431A1

公开(公告)日：2025-01-30

申请号：US18357621

申请日：2023-07-24

Applicant: ADOBE INC.

Inventor： Min Jin Chong ,  Krishna Kumar Singh ,  Yijun Li ,  Jingwan Lu

IPC: G06V10/774 ,  G06N3/045 ,  G06N3/0475

Abstract: Systems and methods for training a Generative Adversarial Network (GAN) using feature regularization are described herein. Embodiments are configured to generate a candidate image using a generator network of a GAN, classify the candidate image as real or generated using a discriminator network of the GAN, and train the GAN to generate realistic images based on the classifying of the candidate image. The training process includes regularizing a gradient with respect to features extracted using a discriminator network of the GAN.