US Patent Issued to Agora Lab on May 27 for "Optimizing generative networks via latent space regularizations" (California Inventor)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,314,862, issued on May 27, was assigned to Agora Lab Inc. (Santa Clara, Calif.).

"Optimizing generative networks via latent space regularizations" was invented by Sheng Zhong (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for image generation based on a Generative AI Network. The Generative AI Network includes a generator and an encoder. The method includes determining, by the encoder, a first encoding E(Y) of a target image Y; generating, by the generator, a generated image G(Z) corresponding to the target image Y, wherein the generated image G(Z) is located in a close vicinity of a target neighborhood of the target image ...