US Patent Issued to Adobe on May 13 for "Learning parameters for an image harmonization neural network to generate deep harmonized digital images" (California, Washington, Texas Inventors)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,299,844, issued on May 13, was assigned to Adobe Inc. (San Jose, Calif.).

"Learning parameters for an image harmonization neural network to generate deep harmonized digital images" was invented by He Zhang (San Jose, Calif.), Yifan Jiang (Austin, Texas), Yilin Wang (San Jose, Calif.), Jianming Zhang (Campbell, Calif.), Kalyan Sunkavalli (San Jose, Calif.), Sarah Kong (Cupertino, Calif.), Su Chen (San Jose, Calif.), Sohrab Amirghodsi (Seattle) and Zhe Lin (Fremont, Calif.).

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 accurately, efficiently, and flexibly g...