US Patent Issued to Adobe on July 22 for "Learning parameters for neural networks using a semantic discriminator and an object-level discriminator" (California, Washington, New York Inventors)

ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,586, issued on July 22, was assigned to Adobe Inc. (San Jose, Calif.).

"Learning parameters for neural networks using a semantic discriminator and an object-level discriminator" was invented by Zhe Lin (Fremont, Calif.), Haitian Zheng (Rochester, N.Y.), Elya Shechtman (Seattle), Jianming Zhang (Campbell, Calif.), Jingwan Lu (Santa Clara, Calif.), Ning Xu (Milpitas, Calif.), Qing Liu (Santa Clara, Calif.), Scott Cohen (Sunnyvale, Calif.) and Sohrab Amirghodsi (Seattle).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpa...