Patents by Inventor Michael Julian Black

Michael Julian Black 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).

  • Patent number: 11461630
    Abstract: Disclosed are systems and techniques for extracting user body shape (e.g., a representation of the three-dimensional body surface) from user behavioral data. The behavioral data may not be explicitly body-shape-related, and can include shopping history, social media likes, or other recorded behaviors of the user within (or outside of) a networked content delivery environment. The determined body shape can be used, for example, to generate a virtual fitting room user interface.
    Type: Grant
    Filed: March 6, 2018
    Date of Patent: October 4, 2022
    Assignee: Max-Planck-Gesellschaft zur Förderung der Wisenschaften e.V.
    Inventors: Michael Julian Black, Eric Rachlin, Matthew Loper, Jonathan Robert Cilley, William John O'Farrell, Alexander Weiss, Jason Lawrence Gelman, Steven Douglas Hatch, Nicolas Heron, Javier Romero Gonzalez-Nicolas
  • Patent number: 11403800
    Abstract: Systems and methods are provided for generating an image of a posed human figure or other subject using a neural network that is trained to translate a set of points to realistic images by reconstructing projected surfaces directly in the pixel space or image space. Input to the image generation process may include parameterized control features, such as body shape parameters, pose parameters and/or a virtual camera position. These input parameters may be applied to a three-dimensional model that is used to generate the set of points, such as a sparsely populated image of color and depth information at vertices of the three-dimensional model, before additional image generation occurs directly in the image space. The visual appearance or identity of the synthesized human in successive output images may remain consistent, such that the output is both controllable and predictable.
    Type: Grant
    Filed: July 13, 2020
    Date of Patent: August 2, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Sergey Prokudin, Javier Romero Gonzalez-Nicolas, Michael Julian Black
  • Patent number: 5802203
    Abstract: An image segmentation system segments images into component elements by modelling the image as a series of combined layers. The brightness of pixels within each layer is modelled as a parametric function of pixel position. Weights are assigned to each pixel position within each layer and describe how the layers are combined to form a recovered image. By modelling the image as a compilation of layers having different brightness functions, the system segments elements within an image, including text, when the image is corrupted by noise and when elements are combined, such as text and graphics. Enhanced image compression is obtained by modelling the image in multiple layers.
    Type: Grant
    Filed: June 7, 1995
    Date of Patent: September 1, 1998
    Assignee: Xerox Corporation
    Inventors: Michael Julian Black, Allan Douglas Jepson