Patents by Inventor Kevin Duarte

Kevin Duarte has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Disentangling latent representations for image reenactment
    Patent number: 11900519
    Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure encode features of a source image to obtain a source appearance encoding that represents inherent attributes of a face in the source image; encode features of a target image to obtain a target non-appearance encoding that represents contextual attributes of the target image; combine the source appearance encoding and the target non-appearance encoding to obtain combined image features; and generate a modified target image based on the combined image features, wherein the modified target image includes the inherent attributes of the face in the source image together with the contextual attributes of the target image.
    Type: Grant
    Filed: November 17, 2021
    Date of Patent: February 13, 2024
    Assignee: ADOBE INC.
    Inventors: Kevin Duarte, Wei-An Lin, Ratheesh Kalarot, Shabnam Ghadar, Jingwan Lu, Elya Shechtman, John Thomas Nack
  • DISENTANGLING LATENT REPRESENTATIONS FOR IMAGE REENACTMENT
    Publication number: 20230154088
    Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure encode features of a source image to obtain a source appearance encoding that represents inherent attributes of a face in the source image; encode features of a target image to obtain a target non-appearance encoding that represents contextual attributes of the target image; combine the source appearance encoding and the target non-appearance encoding to obtain combined image features; and generate a modified target image based on the combined image features, wherein the modified target image includes the inherent attributes of the face in the source image together with the contextual attributes of the target image.
    Type: Application
    Filed: November 17, 2021
    Publication date: May 18, 2023
    Inventors: Kevin Duarte, Wei-An Lin, Ratheesh Kalarot, Shabnam Ghadar, Jingwan Lu, Elya Shechtman, John Thomas Nack