Patents by Inventor Rohit Kumar Guglani

Rohit Kumar Guglani 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: 20240020891
    Abstract: Jitter application techniques are described for vector objects as implemented by a vector object jitter application system. In an implementation, the vector object jitter application system receives an input defining a stroke to be drawn on a user interface. A vector object is then generated representing the stroke and having a variable width determined by applying jitter to the stroke. The vector object having the variable width is displayed in the user interface as the input is received.
    Type: Application
    Filed: July 12, 2022
    Publication date: January 18, 2024
    Applicant: Adobe Inc.
    Inventors: Reena Agrawal, William C. Eisley, JR., Rohit Kumar Guglani, Paul A George, Gourav Tayal, Deep Sinha
  • Patent number: 11836832
    Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to adaptable drawing guides. In implementations, a guide mode is identified. Generally, a guide mode indicates a manner in which to use a drawing guide to confine strokes corresponding with input paths. Upon detecting an input path, a stroke is drawn in accordance with the guide mode. For example, when an edge mode is employed, the drawn stroke is confined to align with at least one edge of the drawing guide, when an inside mode is employed, the drawn stroke is confined inside of the set of edges of the drawing guide, and when the outside mode is employed, the drawn stroke is confined outside of the set of edges of the drawing guide.
    Type: Grant
    Filed: September 27, 2022
    Date of Patent: December 5, 2023
    Assignee: Adobe Inc.
    Inventors: Elissa A. Welsh, Rishabh Vij, Gaurav Gilhotra, Ayush Bansal, Nipun Mitra, Pulkit Mehta, Karan Batra, Rohit Kumar Guglani, Deep Sinha, Will Eisley, Laura Serghiou
  • Publication number: 20230017810
    Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to adaptable drawing guides. In implementations, a guide mode is identified. Generally, a guide mode indicates a manner in which to use a drawing guide to confine strokes corresponding with input paths. Upon detecting an input path, a stroke is drawn in accordance with the guide mode. For example, when an edge mode is employed, the drawn stroke is confined to align with at least one edge of the drawing guide, when an inside mode is employed, the drawn stroke is confined inside of the set of edges of the drawing guide, and when the outside mode is employed, the drawn stroke is confined outside of the set of edges of the drawing guide.
    Type: Application
    Filed: September 27, 2022
    Publication date: January 19, 2023
    Inventors: Elissa A. Welsh, Rishabh Vij, Gaurav Gilhotra, Ayush Bansal, Nipun Mitra, Pulkit Mehta, Karan Batra, Rohit Kumar Guglani, Deep Sinha, Will Eisley, Laura Serghiou
  • Patent number: 11481938
    Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to adaptable drawing guides. In implementations, a guide mode is identified. Generally, a guide mode indicates a manner in which to use a drawing guide to confine strokes corresponding with input paths. Upon detecting an input path, a stroke is drawn in accordance with the guide mode. For example, when an edge mode is employed, the drawn stroke is confined to align with at least one edge of the drawing guide, when an inside mode is employed, the drawn stroke is confined inside of the set of edges of the drawing guide, and when the outside mode is employed, the drawn stroke is confined outside of the set of edges of the drawing guide.
    Type: Grant
    Filed: October 2, 2020
    Date of Patent: October 25, 2022
    Assignee: ADOBE INC.
    Inventors: Elissa A. Welsh, Rishabh Vij, Gaurav Gilhotra, Ayush Bansal, Nipun Mitra, Pulkit Mehta, Karan Batra, Rohit Kumar Guglani, Deep Sinha, Will Eisley, Laura Serghiou