ALEXANDRIA, Va., March 12 -- United States Patent no. 12,249,048, issued on March 11, was assigned to NVIDIA Corp. (Santa Clara, Calif.).

"Score-based generative modeling in latent space" was invented by Arash Vahdat (Mountain View, Calif.), Karsten Kreis (Vancouver, Canada) and Jan Kautz (Lexington, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "One embodiment of the present invention sets forth a technique for generating data. The technique includes sampling from a first distribution associated with the score-based generative model to generate a first set of values. The technique also includes performing one or more denoising operations via the score-based generative model to convert the first set of...