Patents by Inventor Mauro Bamert

Mauro Bamert 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).

  • Publication number: 20220215595
    Abstract: Systems and methods for predicting a target set of pixels are disclosed. In one embodiment, a method may include obtaining target content. The target content may include a target set of pixels to be predicted. The method may also include convolving the target set of pixels to generate an estimated set of pixels. The method may include matching a second set of pixels in the target content to the target set of pixels. The second set of pixels may be within a distance from the target set of pixels. The method may include refining the estimated set of pixels to generate a refined set of pixels using a second set of pixels in the target content.
    Type: Application
    Filed: March 25, 2022
    Publication date: July 7, 2022
    Inventors: Christopher SCHROERS, Erika DOGGETT, Stephan MANDT, Jared MCPHILLEN, Scott LABROZZI, Romann WEBER, Mauro BAMERT
  • Patent number: 11335034
    Abstract: Systems and methods for predicting a target set of pixels are disclosed. In one embodiment, a method may include obtaining target content. The target content may include a target set of pixels to be predicted. The method may also include convolving the target set of pixels to generate an estimated set of pixels. The method may include matching a second set of pixels in the target content to the target set of pixels. The second set of pixels may be within a distance from the target set of pixels. The method may include refining the estimated set of pixels to generate a refined set of pixels using a second set of pixels in the target content.
    Type: Grant
    Filed: January 16, 2019
    Date of Patent: May 17, 2022
    Assignee: Disney Enterprises, Inc.
    Inventors: Christopher Schroers, Erika Doggett, Stephan Marcel Mandt, Jared McPhillen, Scott Labrozzi, Romann Weber, Mauro Bamert
  • Patent number: 10832383
    Abstract: Systems and methods for distortion removal at multiple quality levels are disclosed. In one embodiment, a method may include receiving training content. The training content may include original content, reconstructed content, and training distortion quality levels corresponding to the reconstructed content. The reconstructed content may be derived from distorted original content. The method may also include training distortion quality levels corresponding to the reconstructed content. The method may further include receiving an initial distortion removal model. The method may include generating a conditioned distortion removal model by training the initial distortion removal model using the training content. The method may further include storing the conditioned distortion removal model.
    Type: Grant
    Filed: October 22, 2018
    Date of Patent: November 10, 2020
    Assignee: DISNEY ENTERPRISES, INC.
    Inventors: Christopher Schroers, Mauro Bamert, Erika Doggett, Jared McPhillen, Scott Labrozzi, Romann Weber
  • Publication number: 20200226797
    Abstract: Systems and methods for predicting a target set of pixels are disclosed. In one embodiment, a method may include obtaining target content. The target content may include a target set of pixels to be predicted. The method may also include convolving the target set of pixels to generate an estimated set of pixels. The method may include matching a second set of pixels in the target content to the target set of pixels. The second set of pixels may be within a distance from the target set of pixels. The method may include refining the estimated set of pixels to generate a refined set of pixels using a second set of pixels in the target content.
    Type: Application
    Filed: January 16, 2019
    Publication date: July 16, 2020
    Applicant: Disney Enterprises, Inc.
    Inventors: Christopher Schroers, Erika Doggett, Stephan Marcel Mandt, Jared McPhillen, Scott Labrozzi, Romann Weber, Mauro Bamert
  • Publication number: 20190333190
    Abstract: Systems and methods for distortion removal at multiple quality levels are disclosed. In one embodiment, a method may include receiving training content. The training content may include original content, reconstructed content, and training distortion quality levels corresponding to the reconstructed content. The reconstructed content may be derived from distorted original content. The method may also include training distortion quality levels corresponding to the reconstructed content. The method may further include receiving an initial distortion removal model. The method may include generating a conditioned distortion removal model by training the initial distortion removal model using the training content. The method may further include storing the conditioned distortion removal model.
    Type: Application
    Filed: October 22, 2018
    Publication date: October 31, 2019
    Applicants: Disney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)
    Inventors: Christopher Schroers, Mauro Bamert, Erika Doggett, Jared McPhillen, Scott Labrozzi, Romann Weber