US Patent Issued to Adobe on March 24 for "Generating and modifying digital images using a joint feature style latent space of a generative neural network" (California, Washington Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,586,270, issued on March 24, was assigned to Adobe Inc. (San Jose, Calif.).

"Generating and modifying digital images using a joint feature style latent space of a generative neural network" was invented by Hui Qu (Santa Clara, Calif.), Baldo Faieta (San Francisco), Cameron Smith (Santa Cruz, Calif.), Elya Shechtman (Seattle), Jingwan Lu (Santa Clara, Calif.), Ratheesh Kalarot (San Jose, Calif.), Richard Zhang (San Francisco), Saeid Motiian (San Francisco), Shabnam Ghadar (Menlo Park, Calif.) and Wei-An Lin (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure relates to systems, non-transitory computer-readable media, ...