Patents by Inventor Yixing Lao

Yixing Lao 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: 11972519
    Abstract: Described herein are techniques for learning neural reflectance shaders from images. A set of one or more machine learning models can be trained to optimize an illumination latent code and a set of reflectance latent codes for an object within a set of input images. A shader can then be generated based on a machine learning model of the one or more machine learning models. The shader is configured to sample the illumination latent code and the set of reflectance latent codes for the object. A 3D representation of the object can be rendered using the generated shader.
    Type: Grant
    Filed: June 24, 2022
    Date of Patent: April 30, 2024
    Assignee: Intel Corporation
    Inventors: Benjamin Ummenhofer, Shenlong Wang, Sanskar Agrawal, Yixing Lao, Kai Zhang, Stephan Richter, Vladlen Koltun
  • Publication number: 20230343014
    Abstract: Described herein are techniques for learning neural reflectance shaders from images. A set of one or more machine learning models can be trained to optimize an illumination latent code and a set of reflectance latent codes for an object within a set of input images. A shader can then be generated based on a machine learning model of the one or more machine learning models. The shader is configured to sample the illumination latent code and the set of reflectance latent codes for the object. A 3D representation of the object can be rendered using the generated shader.
    Type: Application
    Filed: June 24, 2022
    Publication date: October 26, 2023
    Applicant: Intel Corporation
    Inventors: Benjamin Ummenhofer, Shenlong Wang, Sanskar Agrawal, Yixing Lao, Kai Zhang, Stephan Richter, Vladlen Koltun