ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,469,137, issued on Nov. 11, was assigned to NVIDIA Corp. (Santa Clara, Calif.).

"Representational disentanglement for multi-modality image completion using neural networks" was invented by Wentao Zhu (Mountain View, Calif.), Liyue Shen (Stanford, Calif.), Xiaosong Wang (Rockville, Md.) and Daguang Xu (Potomac, Md.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Apparatuses, systems, and techniques to generate one or more data items related to an object from a set of multiple data items related to the same object using a generative adversarial network. In at least one embodiment, data objects in a set are disentangled into common and unique components and...