Patents by Inventor Daniel James Nunn

Daniel James Nunn 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).

  • Method, medium, and system for live preview via machine learning models
    Patent number: 11538096
    Abstract: Machine learning-based approaches are used to create instances or visualizations of content appearing within an object in an image. For example, a user may submit a request for a preview or visualization of content within an object or other media such as a glass crystal. A trained model can process the content to generate adjustment data or other data that can be used to control image blending operations. The adjustment data can be applied to the pixel values of the content to modify the content in order to enable a visualization of the content within an object. The image portion can be modified such that the object appears to “blend” with and appear within the object. Image transformation techniques can be used to project the modified content onto a representation of an object. Thereafter, a visualization or preview of the content within the representation of the object can be presented.
    Type: Grant
    Filed: July 27, 2020
    Date of Patent: December 27, 2022
    Assignee: Nicom Living LLC
    Inventor: Daniel James Nunn
  • METHOD, MEDIUM, AND SYSTEM FOR LIVE PREVIEW VIA MACHINE LEARNING MODELS
    Publication number: 20210256598
    Abstract: Machine learning-based approaches are used to create instances or visualizations of content appearing within an object in an image. For example, a user may submit a request for a preview or visualization of content within an object or other media such as a glass crystal. A trained model can process the content to generate adjustment data or other data that can be used to control image blending operations. The adjustment data can be applied to the pixel values of the content to modify the content in order to enable a visualization of the content within an object. The image portion can be modified such that the object appears to “blend” with and appear within the object. Image transformation techniques can be used to project the modified content onto a representation of an object. Thereafter, a visualization or preview of the content within the representation of the object can be presented.
    Type: Application
    Filed: July 27, 2020
    Publication date: August 19, 2021
    Applicant: Nicom Living LLC d/b/a Crystal Clear Memories
    Inventor: Daniel James Nunn
  • Method, medium, and system for live preview via machine learning models
    Patent number: 10769718
    Abstract: Machine learning-based approaches are used to create instances or visualizations of content appearing within an object in an image. For example, a user may submit a request for a preview or visualization of content within an object or other media such as a glass crystal. A trained model can process the content to generate adjustment data or other data that can be used to control image blending operations. The adjustment data can be applied to the pixel values of the content to modify the content in order to enable a visualization of the content within an object. The image portion can be modified such that the object appears to “blend” with and appear within the object. Image transformation techniques can be used to project the modified content onto a representation of an object. Thereafter, a visualization or preview of the content within the representation of the object can be presented.
    Type: Grant
    Filed: February 19, 2020
    Date of Patent: September 8, 2020
    Assignee: Nicom Living LLC
    Inventor: Daniel James Nunn