ALEXANDRIA, Va., June 9 -- United States Patent no. 12,288,389, issued on April 29, was assigned to NEC Corp. (Tokyo).
"Learning orthogonal factorization in GAN latent space" was invented by Renqiang Min (Princeton, N.J.), Hans Peter Graf (South Amboy, N.J.) and Ligong Han (Edison, N.J.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for learning disentangled representations of videos is presented. The method includes feeding each frame of video data into an encoder to produce a sequence of visual features, passing the sequence of visual features through a deep convolutional network to obtain a posterior of a dynamic latent variable and a posterior of a static latent variable, sampling static and dyn...