Patents by Inventor Aaron Maschinot

Aaron Maschinot 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: 11483463
    Abstract: Some implementations relate to determining whether glare is present in captured image(s) of an object (e.g., a photo) and/or to determining one or more attributes of any present glare. Some of those implementations further relate to adapting one or more parameters for a glare removal process based on whether the glare is determined to be present and/or based on one or more of the determined attributes of any glare determined to be present. Some additional and/or alternative implementations disclosed herein relate to correcting color of a flash image of an object (e.g., a photo). The flash image is based on one or more images captured by a camera of a client device with a flash component of the client device activated. In various implementations, correcting the color of the flash image is based on a determined color space of an ambient image of the object.
    Type: Grant
    Filed: May 26, 2020
    Date of Patent: October 25, 2022
    Assignee: Google LLC
    Inventors: Julia Winn, Abraham Stephens, Daniel Pettigrew, Aaron Maschinot, Ce Liu, Michael Krainin, Michael Rubinstein, Jingyu Cui
  • Publication number: 20220148299
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating realistic extensions of images. In one aspect, a method comprises providing an input that comprises a provided image to a generative neural network having a plurality of generative neural network parameters. The generative neural network processes the input in accordance with trained values of the plurality of generative neural network parameters to generate an extended image. The extended image has (i) more rows, more columns, or both than the provided image, and (ii) is predicted to be a realistic extension of the provided image. The generative neural network is trained using an adversarial loss objective function.
    Type: Application
    Filed: July 19, 2019
    Publication date: May 12, 2022
    Inventors: Mikael Pierre Bonnevie, Aaron Maschinot, Aaron Sarna, Shuchao Bi, Jingbin Wang, Michael Spencer Krainin, Wenchao Tong, Dilip Krishnan, Haifeng Gong, Ce Liu, Hossein Talebi, Raanan Sayag, Piotr Teterwak
  • Publication number: 20200282811
    Abstract: Some implementations relate to determining whether glare is present in captured image(s) of an object (e.g., a photo) and/or to determining one or more attributes of any present glare. Some of those implementations further relate to adapting one or more parameters for a glare removal process based on whether the glare is determined to be present and/or based on one or more of the determined attributes of any glare determined to be present. Some additional and/or alternative implementations disclosed herein relate to correcting color of a flash image of an object (e.g., a photo). The flash image is based on one or more images captured by a camera of a client device with a flash component of the client device activated. In various implementations, correcting the color of the flash image is based on a determined color space of an ambient image of the object.
    Type: Application
    Filed: May 26, 2020
    Publication date: September 10, 2020
    Applicant: Google LLC
    Inventors: Julia WINN, Abraham STEPHENS, Daniel PETTIGREW, Aaron MASCHINOT, Ce LIU, Michael KRAININ, Michael RUBINSTEIN, Jingyu CUI
  • Patent number: 10675955
    Abstract: Some implementations relate to determining whether glare is present in captured image(s) of an object (e.g., a photo) and/or to determining one or more attributes of any present glare. Some of those implementations further relate to adapting one or more parameters for a glare removal process based on whether the glare is determined to be present and/or based on one or more of the determined attributes of any glare determined to be present. Some additional and/or alternative implementations disclosed herein relate to correcting color of a flash image of an object (e.g., a photo). The flash image is based on one or more images captured by a camera of a client device with a flash component of the client device activated. In various implementations, correcting the color of the flash image is based on a determined color space of an ambient image of the object.
    Type: Grant
    Filed: November 14, 2017
    Date of Patent: June 9, 2020
    Assignee: Google LLC
    Inventors: Julia Winn, Abraham Stephens, Daniel Pettigrew, Aaron Maschinot, Ce Liu, Michael Krainin, Michael Rubinstein, Jingyu Cui
  • Publication number: 20180134127
    Abstract: Some implementations relate to determining whether glare is present in captured image(s) of an object (e.g., a photo) and/or to determining one or more attributes of any present glare. Some of those implementations further relate to adapting one or more parameters for a glare removal process based on whether the glare is determined to be present and/or based on one or more of the determined attributes of any glare determined to be present. Some additional and/or alternative implementations disclosed herein relate to correcting color of a flash image of an object (e.g., a photo). The flash image is based on one or more images captured by a camera of a client device with a flash component of the client device activated. In various implementations, correcting the color of the flash image is based on a determined color space of an ambient image of the object.
    Type: Application
    Filed: November 14, 2017
    Publication date: May 17, 2018
    Inventors: Julia Winn, Abraham Stephens, Daniel Pettigrew, Aaron Maschinot