Patents by Inventor Sumit Dhingra

Sumit Dhingra 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: 20240062455
    Abstract: Embodiments are disclosed for performing 3-D vectorization. The method includes obtaining a three-dimensional rendered image and a camera position. The method further includes obtaining a triangle mesh representing the three-dimensional rendered image. The method further involves creating a reduced triangle mesh by removing one or more triangles from the triangle mesh. The method further involves subdividing each triangle of the reduced triangle mesh into one or more subdivided triangles. The method further involves performing a mapping of each pixel of the three-dimensional rendered image to the reduced triangle mesh. The method further involves assigning a color value to each vertex of the reduced triangle mesh. The method further involves sorting each triangle of the reduced triangle mesh using a depth value of each triangle. The method further involves generating a two-dimensional triangle mesh using the sorted triangles of the reduced triangle mesh.
    Type: Application
    Filed: August 16, 2022
    Publication date: February 22, 2024
    Applicant: Adobe Inc.
    Inventors: Ankit PHOGAT, Xin SUN, Vineet BATRA, Sumit DHINGRA, Nathan A. CARR, Milos HASAN
  • Patent number: 11663763
    Abstract: A computer-implemented method including receiving an input image at a first image stage and receiving a request to generate a plurality of variations of the input image at a second image stage. The method including generating, using an auto-regressive generative deep learning model, the plurality of variations of the input image at the second image stage and outputting the plurality of variations of the input image at the second image stage.
    Type: Grant
    Filed: October 25, 2021
    Date of Patent: May 30, 2023
    Assignee: Adobe Inc.
    Inventors: Matthew David Fisher, Vineet Batra, Sumit Dhingra, Praveen Kumar Dhanuka, Deepali Aneja, Ankit Phogat
  • Publication number: 20230131321
    Abstract: A computer-implemented method including receiving an input image at a first image stage and receiving a request to generate a plurality of variations of the input image at a second image stage. The method including generating, using an auto-regressive generative deep learning model, the plurality of variations of the input image at the second image stage and outputting the plurality of variations of the input image at the second image stage.
    Type: Application
    Filed: October 25, 2021
    Publication date: April 27, 2023
    Applicant: Adobe Inc.
    Inventors: Matthew David FISHER, Vineet BATRA, Sumit DHINGRA, Praveen Kumar DHANUKA, Deepali ANEJA, Ankit PHOGAT
  • Patent number: 11631220
    Abstract: Digital object surface inflation techniques are described as implemented by an image processing system to generate an inflated digital object, automatically and without user intervention, from a two-dimensional digital object in a digital image. In one example, the geometry inflation system generates the inflated digital object based on an outer boundary and in this way overcomes challenges of conventional skeleton based techniques. In another example, rules are configured to guide a geometry inflation system to generate the inflated digital object.
    Type: Grant
    Filed: March 16, 2021
    Date of Patent: April 18, 2023
    Assignee: Adobe Inc.
    Inventors: Ankit Phogat, Vineet Batra, Sumit Dhingra, Qingnan Zhou
  • Publication number: 20220414936
    Abstract: Embodiments are disclosed for generating multiple color theme variations from an input image using learned color distributions. A method of generating multiple color theme variations from an input image using learned color distributions includes obtaining, by a user interface manager, an input image, determining, by a color extraction manager, one or more color priors based on the input image, generating, by a color distribution modeling network, a plurality of color theme variations based on the one or more color priors, ranking, by a color theme evaluation network, the plurality of color theme variations, and generating, by a recolor manager, a plurality of recolored output images using the plurality of color theme variations.
    Type: Application
    Filed: June 25, 2021
    Publication date: December 29, 2022
    Inventors: Vineet BATRA, Sumit DHINGRA, Matthew FISHER, Ankit PHOGAT
  • Publication number: 20220301263
    Abstract: Digital object surface inflation techniques are described as implemented by an image processing system to generate an inflated digital object, automatically and without user intervention, from a two-dimensional digital object in a digital image. In one example, the geometry inflation system generates the inflated digital object based on an outer boundary and in this way overcomes challenges of conventional skeleton based techniques. In another example, rules are configured to guide a geometry inflation system to generate the inflated digital object.
    Type: Application
    Filed: March 16, 2021
    Publication date: September 22, 2022
    Applicant: Adobe Inc.
    Inventors: Ankit Phogat, Vineet Batra, Sumit Dhingra, Qingnan Zhou
  • Patent number: 11321582
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for efficiently and flexibly extracting reusable geometric assets from an arbitrary arrangement of vector geometry within a digital image. For example, the disclosed systems can organize vector geometry of a digital image by structuring geometric objects into groups (e.g., clusters). The disclosed systems can assign mnemonics to these groups and transform the digital image into a mnemonic sequence. Moreover, the disclosed systems can utilize various computer-implemented algorithms to identify and filter patterns within the mnemonic sequence. The disclosed systems can then generate pattern scores for these patterns and identify which patterns of geometric objects to include within a set of reusable geometric assets.
    Type: Grant
    Filed: June 23, 2020
    Date of Patent: May 3, 2022
    Assignee: Adobe Inc.
    Inventors: Praveen Kumar Dhanuka, Vineet Batra, Sumit Dhingra, Ankit Phogat
  • Patent number: 11321889
    Abstract: A multi-layer light source includes an emissive layer and a textured lighting gel layer, the lighting gel layer being situated between the emissive layer and a 2D canvas or a 3D object. User inputs controlling the multi-layer light source are received, these user inputs being provided with the user interacting with the 2D canvas without switching to editing in 3D space. The multi-layer light source is configured based on the user inputs and, based on the configuration, emission of light rays from the multi-layer light source is determined. Areas of shadows cast by 3D objects are also determined. An image generation system determines, a color of a location (e.g., a pixel) on the 2D canvas or the 3D object that a light ray intersects based on the color that is in the lighting gel layer that the light ray passes through.
    Type: Grant
    Filed: October 28, 2020
    Date of Patent: May 3, 2022
    Assignee: Adobe Inc.
    Inventors: Xin Sun, Vineet Batra, Sumit Dhingra, Nathan Aaron Carr, Ankit Phogat
  • Publication number: 20220130087
    Abstract: A multi-layer light source includes an emissive layer and a textured lighting gel layer, the lighting gel layer being situated between the emissive layer and a 2D canvas or a 3D object. User inputs controlling the multi-layer light source are received, these user inputs being provided with the user interacting with the 2D canvas without switching to editing in 3D space. The multi-layer light source is configured based on the user inputs and, based on the configuration, emission of light rays from the multi-layer light source is determined. Areas of shadows cast by 3D objects are also determined. An image generation system determines, a color of a location (e.g., a pixel) on the 2D canvas or the 3D object that a light ray intersects based on the color that is in the lighting gel layer that the light ray passes through.
    Type: Application
    Filed: October 28, 2020
    Publication date: April 28, 2022
    Applicant: Adobe Inc.
    Inventors: Xin Sun, Vineet Batra, Sumit Dhingra, Nathan Aaron Carr, Ankit Phogat
  • Publication number: 20210397887
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for efficiently and flexibly extracting reusable geometric assets from an arbitrary arrangement of vector geometry within a digital image. For example, the disclosed systems can organize vector geometry of a digital image by structuring geometric objects into groups (e.g., clusters). The disclosed systems can assign mnemonics to these groups and transform the digital image into a mnemonic sequence. Moreover, the disclosed systems can utilize various computer-implemented algorithms to identify and filter patterns within the mnemonic sequence. The disclosed systems can then generate pattern scores for these patterns and identify which patterns of geometric objects to include within a set of reusable geometric assets.
    Type: Application
    Filed: June 23, 2020
    Publication date: December 23, 2021
    Inventors: Praveen Kumar Dhanuka, Vineet Batra, Sumit Dhingra, Ankit Phogat
  • Patent number: 11055810
    Abstract: A technique is described for clustering graphics objects in a graphic artwork based on affine variance. Geometry data associated with an input set of graphics objects can be processed to identify pairs of graphics objects that are affine variants of each other. The identified affine variants can then be clustered into one or more affine groups. Similar graphics objects in a given affine group can then be represented using a base geometry and a corresponding transformation matrix. Accordingly, the overall geometric complexity of the graphic artwork can be simplified thereby providing various benefits such as reducing file size and improving rendering performance.
    Type: Grant
    Filed: March 30, 2020
    Date of Patent: July 6, 2021
    Assignee: ADOBE INC.
    Inventors: Sumit Dhingra, Vineet Batra, Praveen Kumar Dhanuka, Ankit Phogat