Patents by Inventor Rundong WU

Rundong WU 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: 20240087228
    Abstract: A method for scheduling and displaying three-dimensional annotations is provided, relating to the field of realistic three-dimensional visualization technology. The present disclosure covers data services, data scheduling schemes, data storage schemes, annotation avoidance schemes, and annotation efficient display schemes. Users can use this disclosure to schedule and display massive three-dimensional annotations in WebGL at high frame rates while consuming extremely low performance. It solves the problem of text inversion and non-hierarchical zooming of three-dimensional maps in traditional annotation and slicing services which can cause text to appear larger or smaller, breaking through the technical bottleneck that traditional annotation and slicing services that cannot be superposition displayed on 3D models.
    Type: Application
    Filed: September 8, 2023
    Publication date: March 14, 2024
    Inventors: Rundong Liu, Ruibo Chen, Shuhong Mei, Qing Liu, Chanling Pan, Mincan He, Jinyun Chen, Lijuan He, Shuai Wu, Ziyuan Bao
  • Patent number: 11373353
    Abstract: Methods, apparatus, and computer readable storage medium for simulating and rendering a material with a modified material point method are described. The method includes, for each of a plurality of time-steps of simulating a material: transferring states of particles representing the material at a N-th time-step to a grid, determining a plurality of grid-node velocities at the N-th time-step using a particle-to-grid computation based on the states of the particles at the N-th time-step, updating the plurality of grid-node velocities at a (N+1)-th time-step based on grid forces, and updating the states of the particles at the (N+1)-th time-step using a grid-to-particle computation based on the states of the particles at the N-th time-step, the plurality of grid-node velocities at the N-th and (N+1)-th time-steps. The method further includes rendering one or more image depicting the material based on the states of the particles at the plurality of time-steps.
    Type: Grant
    Filed: February 26, 2021
    Date of Patent: June 28, 2022
    Assignee: TENCENT AMERICA LLC
    Inventors: Yun Fei, Ming Gao, Qi Guo, Rundong Wu
  • Publication number: 20220055292
    Abstract: Systems and methods are provided for incremental 3D printing, wherein wireframes are generated and printed (scheduled for print) during the design process. In another aspect, systems and methods are provided for printing arbitrary meshes. A 3D printer system is described having, for example, five degree-of-freedom (5DOF). The 5DOF printer may be used to perform any of the methods described herein and combinations of the methods.
    Type: Application
    Filed: November 1, 2021
    Publication date: February 24, 2022
    Inventors: Francois GUIMBRETIERE, Huaishu PENG, Stephen Robert MARSCHNER, Rundong WU
  • Patent number: 11179884
    Abstract: Systems and methods are provided for incremental 3D printing, wherein wireframes are generated and printed (scheduled for print) during the design process. In another aspect, systems and methods are provided for printing arbitrary meshes. A 3D printer system is described having, for example, five degree-of-freedom (5DOF). The 5DOF printer may be used to perform any of the methods described herein and combinations of the methods.
    Type: Grant
    Filed: April 14, 2017
    Date of Patent: November 23, 2021
    Assignee: Cornell University
    Inventors: Francois Guimbretiere, Huaishu Peng, Stephen Robert Marschner, Rundong Wu
  • Patent number: 10922852
    Abstract: Oil painting simulation techniques are disclosed which simulate painting brush strokes using a trained neural network. In some examples, a method may include inferring a new height map of existing paint on a canvas after a new painting brush stroke is applied based on a bristle trajectory map that represents the new painting brush stroke and a height map of existing paint on the canvas prior to the application of the new painting brush stroke, and generating a rendering of the new painting brush stroke based on the new height map of existing paint on the canvas after the new painting brush stroke is applied to the canvas and a color map.
    Type: Grant
    Filed: August 13, 2019
    Date of Patent: February 16, 2021
    Assignee: Adobe Inc.
    Inventors: Zhili Chen, Zhaowen Wang, Rundong Wu, Jimei Yang
  • Publication number: 20190362524
    Abstract: Oil painting simulation techniques are disclosed which simulate painting brush strokes using a trained neural network. In some examples, a method may include inferring a new height map of existing paint on a canvas after a new painting brush stroke is applied based on a bristle trajectory map that represents the new painting brush stroke and a height map of existing paint on the canvas prior to the application of the new painting brush stroke, and generating a rendering of the new painting brush stroke based on the new height map of existing paint on the canvas after the new painting brush stroke is applied to the canvas and a color map.
    Type: Application
    Filed: August 13, 2019
    Publication date: November 28, 2019
    Applicant: Adobe Inc.
    Inventors: Zhili Chen, Zhaowen Wang, Rundong Wu, Jimei Yang
  • Patent number: 10424086
    Abstract: Oil painting simulation techniques are disclosed which simulate painting brush strokes using a trained neural network. In some examples, a method may include inferring a new height map of existing paint on a canvas after a new painting brush stroke is applied based on a bristle trajectory map that represents the new painting brush stroke and a height map of existing paint on the canvas prior to the application of the new painting brush stroke, and generating a rendering of the new painting brush stroke based on the new height map of existing paint on the canvas after the new painting brush stroke is applied to the canvas and a color map.
    Type: Grant
    Filed: November 16, 2017
    Date of Patent: September 24, 2019
    Assignee: Adobe Inc.
    Inventors: Zhili Chen, Zhaowen Wang, Rundong Wu, Jimei Yang
  • Publication number: 20190147627
    Abstract: Oil painting simulation techniques are disclosed which simulate painting brush strokes using a trained neural network. In some examples, a method may include inferring a new height map of existing paint on a canvas after a new painting brush stroke is applied based on a bristle trajectory map that represents the new painting brush stroke and a height map of existing paint on the canvas prior to the application of the new painting brush stroke, and generating a rendering of the new painting brush stroke based on the new height map of existing paint on the canvas after the new painting brush stroke is applied to the canvas and a color map.
    Type: Application
    Filed: November 16, 2017
    Publication date: May 16, 2019
    Applicant: Adobe Inc.
    Inventors: Zhili Chen, Zhaowen Wang, Rundong Wu, Jimei Yang
  • Publication number: 20190084224
    Abstract: Systems and methods are provided for incremental 3D printing, wherein wireframes are generated and printed (scheduled for print) during the design process. In another aspect, systems and methods are provided for printing arbitrary meshes. A 3D printer system is described having, for example, five degree-of-freedom (5DOF). The 5DOF printer may be used to perform any of the methods described herein and combinations of the methods.
    Type: Application
    Filed: April 14, 2017
    Publication date: March 21, 2019
    Inventors: Francois GUIMBRETIERE, Huaishu PENG, Stephen Robert MARSCHNER, Rundong WU