Patents by Inventor Ayush Bansal

Ayush Bansal 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: 12289353
    Abstract: Methods and systems are provided for facilitating document collaboration in accordance with collaboration controls. In embodiments, an indication of a collaboration control for a collaborator of a document is obtained. The collaboration control generally indicates an edit permission for a document section of the document in relation to the collaborator. Thereafter, a set of collaboration control data for the document is generated. In embodiments, the set of collaboration control data includes the collaboration control indicating the edit permission for the document section of the document in relation to the collaborator. Based on an input (e.g., edit) by the collaborator to the document section of the document, a determination is made, using the set of collaboration control data, as to whether to enable an edit to the document section of the document.
    Type: Grant
    Filed: June 2, 2023
    Date of Patent: April 29, 2025
    Assignee: Adobe Inc.
    Inventors: Ayush Bansal, Deep Sinha
  • Publication number: 20240406230
    Abstract: Methods and systems are provided for facilitating document collaboration in accordance with collaboration controls. In embodiments, an indication of a collaboration control for a collaborator of a document is obtained. The collaboration control generally indicates an edit permission for a document section of the document in relation to the collaborator. Thereafter, a set of collaboration control data for the document is generated. In embodiments, the set of collaboration control data includes the collaboration control indicating the edit permission for the document section of the document in relation to the collaborator. Based on an input (e.g., edit) by the collaborator to the document section of the document, a determination is made, using the set of collaboration control data, as to whether to enable an edit to the document section of the document.
    Type: Application
    Filed: June 2, 2023
    Publication date: December 5, 2024
    Inventors: Ayush BANSAL, Deep SINHA
  • Patent number: 12147656
    Abstract: This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilize a drawing application technique that enables a simulation of digital spirograph designs within electronic drawing applications. In some embodiments, the disclosed systems receive a user selection of a primary shape. Moreover, in one or more implementations, the disclosed systems detect a user interaction with a contact point within a secondary shape to move the contact point from a first location to a second location. Furthermore, in one or more instances, the disclosed systems generate, for display, a digital line drawing from the first location to the second location utilizing a movement of the contact point in relation to a rotation of a secondary curve of the secondary shape along a movement path corresponding to a primary curve of the primary shape based on the user interaction with the contact point.
    Type: Grant
    Filed: June 20, 2023
    Date of Patent: November 19, 2024
    Assignee: Adobe Inc.
    Inventors: Apoorva, Ishita Menon, Deep Sinha, Ayush Bansal
  • 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
  • Patent number: 11049307
    Abstract: In implementations of transferring vector style properties to a vector artwork, an artwork editing system directly processes artwork represented by vector graphics, unlike systems that process raster graphics. The artwork editing system transfers vector style properties from shapes of a style vector artwork to shapes of a content vector artwork based on overlapping shapes between the two artworks and in proportion to an amount of the overlap. A user may select vector style properties to transfer, such as fill content, stroke color, stroke width, stroke dashing, etc., and a percentage of the vector style property to transfer. Accordingly, a designer may transfer vector style properties of the designer's selection to a vector artwork efficiently and predictably, in real-time (e.g., without perceptible delay to the designer), without undesired distortions that are commonly introduced by neural networks, and without the cost associated with neural networks.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: June 29, 2021
    Assignee: Adobe Inc.
    Inventors: Tarun Gehlaut, Paragi Singhal, Ayush Bansal
  • Publication number: 20200380750
    Abstract: In implementations of transferring vector style properties to a vector artwork, an artwork editing system directly processes artwork represented by vector graphics, unlike systems that process raster graphics. The artwork editing system transfers vector style properties from shapes of a style vector artwork to shapes of a content vector artwork based on overlapping shapes between the two artworks and in proportion to an amount of the overlap. A user may select vector style properties to transfer, such as fill content, stroke color, stroke width, stroke dashing, etc., and a percentage of the vector style property to transfer. Accordingly, a designer may transfer vector style properties of the designer's selection to a vector artwork efficiently and predictably, in real-time (e.g., without perceptible delay to the designer), without undesired distortions that are commonly introduced by neural networks, and without the cost associated with neural networks.
    Type: Application
    Filed: August 20, 2020
    Publication date: December 3, 2020
    Applicant: Adobe Inc.
    Inventors: Tarun Gehlaut, Paragi Singhal, Ayush Bansal
  • Publication number: 20200311809
    Abstract: In one aspect, computerized method for determining a maximum daily limit for a merchant on a settlement includes the step of, with an early settlement capping module operating in a server. The method includes the step of deciding a maximum lending limit. The maximum lending limit is used for a setup of a payment gateway with a surplus amount that a nodal account utilizes for providing a lending service to a set of merchants. The method includes the step of analyzing the impact of a set of alternative factors that are used as a cap value for the maximum lending limit. The cap value comprises an upper limit put to a daily settlement done to a merchant in the set of merchants in order to prevent risk and optimally lend float. The method includes the step of, based on the cap value, implementing a lending operation through the lending service to the set of merchants.
    Type: Application
    Filed: November 6, 2019
    Publication date: October 1, 2020
    Inventors: Harshil Mathur, Priyanka Jain, Prerit Khandelwal, Ayush Bansal, Shashank Mehta
  • Patent number: 10769830
    Abstract: In implementations of transferring vector style properties to a vector artwork, an artwork editing system directly processes artwork represented by vector graphics, unlike systems that process raster graphics. The artwork editing system transfers vector style properties from shapes of a style vector artwork to shapes of a content vector artwork based on overlapping shapes between the two artworks and in proportion to an amount of the overlap. A user may select vector style properties to transfer, such as fill content, stroke color, stroke width, stroke dashing, etc., and a percentage of the vector style property to transfer. Accordingly, a designer may transfer vector style properties of the designer's selection to a vector artwork efficiently and predictably, in real-time (e.g., without perceptible delay to the designer), without undesired distortions that are commonly introduced by neural networks, and without the cost associated with neural networks.
    Type: Grant
    Filed: January 28, 2019
    Date of Patent: September 8, 2020
    Assignee: Adobe Inc.
    Inventors: Tarun Gehlaut, Paragi Singhal, Ayush Bansal
  • Publication number: 20200242823
    Abstract: In implementations of transferring vector style properties to a vector artwork, an artwork editing system directly processes artwork represented by vector graphics, unlike systems that process raster graphics. The artwork editing system transfers vector style properties from shapes of a style vector artwork to shapes of a content vector artwork based on overlapping shapes between the two artworks and in proportion to an amount of the overlap. A user may select vector style properties to transfer, such as fill content, stroke color, stroke width, stroke dashing, etc., and a percentage of the vector style property to transfer. Accordingly, a designer may transfer vector style properties of the designer's selection to a vector artwork efficiently and predictably, in real-time (e.g., without perceptible delay to the designer), without undesired distortions that are commonly introduced by neural networks, and without the cost associated with neural networks.
    Type: Application
    Filed: January 28, 2019
    Publication date: July 30, 2020
    Applicant: Adobe Inc.
    Inventors: Tarun Gehlaut, Paragi Singhal, Ayush Bansal