US Patent Issued to GOOGLE on Feb. 24 for "Optimizing generative machine-learned models for subject-driven text-to-3D generation" (American, Israeli, German Inventors)

ALEXANDRIA, Va., Feb. 24 -- United States Patent no. 12,561,905, issued on Feb. 24, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Optimizing generative machine-learned models for subject-driven text-to-3D generation" was invented by Yuanzhen Li (Newton Centre, Mass.), Amit Raj (Seattle), Varun Jampani (Rockland, Mass.), Benjamin Joseph Mildenhall (San Francisco), Benjamin Michael Poole (San Francisco), Jonathan Tilton Barron (Alameda, Calif.), Kfir Aberman (San Mateo, Calif.), Michael Niemeyer (Cologne, Germany), Michael Rubinstein (Natick, Mass.), Nataniel Ruiz Gutierrez (Boston), Shiran Elyahu Zada (Tel Aviv, Israel) and Srinivas Kaza (Seattle).

According to the abstract* released by the U.S. Patent & Trademark Office: "A fractio...