US Patent Issued to Raytheon on March 24 for "Synthetic-to-realistic image conversion using generative adversarial network (GAN) or other machine learning model" (Virginia, Texas Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,586,359, issued on March 24, was assigned to Raytheon Co. (Arlington, Va.).

"Synthetic-to-realistic image conversion using generative adversarial network (GAN) or other machine learning model" was invented by Jonathan H. Goldstein (Fredericksburg, Va.), Lauren E. Turney (Forney, Texas), Richard W. Ely (Lewisville, Texas), Jody D. Verret (Rockwall, Texas) and Brett N. Appleton (Centreville, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method includes obtaining training data having first image pairs, where each of the first image pairs includes (i) a first training image and (ii) a first ground truth image. The method also includes training a mac...