US Patent Issued to ADOBE on March 24 for "Single image concept encoder for personalization using a pretrained diffusion model" (California Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,586,364, issued on March 24, was assigned to ADOBE INC. (San Jose, Calif.).

"Single image concept encoder for personalization using a pretrained diffusion model" was invented by Saeid Motiian (San Francisco) and Shabnam Ghadar (Menlo Park, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for image processing are provided. One aspect of the systems and methods includes identifying a style image including a target style. A style encoder network generates a style vector representing the target style based on the style image. The style encoder can be trained based on a style loss that encourages the network to match a desired style...