US Patent Issued to ADOBE on June 16 for "GAN image generation from feature regularization" (California, Washington Inventors)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,657,882, issued on June 16, was assigned to ADOBE INC. (San Jose, Calif.).

"GAN image generation from feature regularization" was invented by Min Jin Chong (Seattle, Calif.), Krishna Kumar Singh (San Jose, Calif.), Yijun Li (Seattle) and Jingwan Lu (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "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 realisti...