Patents by Inventor Zhaoming Xie

Zhaoming Xie 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).

  • LEARNING CHARACTER MODEL ANIMATIONS WITH A LAYER-WISE MIXTURE-OF-EXPERTS NETWORK
    Publication number: 20240312102
    Abstract: A computing system may provide functionality for controlling an animated model to perform actions and to perform transitions therebetween. The system may determine, from among a plurality of edges from a first node of a control graph to respective other nodes of the control graph, a selected edge from the first control node to a selected node. The system may then determine controls for an animated model in a simulation based at least in part on the selected edge, control data associated with the selected node, a current simulation state of the simulation, and a machine learned algorithm, determine an updated simulation state of the simulation based at least in part on the controls for the animated model, and adapt one or more parameters of the machine learned algorithm based at least in part on the updated simulation state and a desired simulation state.
    Type: Application
    Filed: May 24, 2024
    Publication date: September 19, 2024
    Inventors: Zhaoming Xie, Wolfram Sebastian Starke, Harold Henry Chaput
  • Learning character model animations with a layer-wise mixture-of-experts network
    Patent number: 12033262
    Abstract: A computing system may provide functionality for controlling an animated model to perform actions and to perform transitions therebetween. The system may determine, from among a plurality of edges from a first node of a control graph to respective other nodes of the control graph, a selected edge from the first control node to a selected node. The system may then determine controls for an animated model in a simulation based at least in part on the selected edge, control data associated with the selected node, a current simulation state of the simulation, and a machine learned algorithm, determine an updated simulation state of the simulation based at least in part on the controls for the animated model, and adapt one or more parameters of the machine learned algorithm based at least in part on the updated simulation state and a desired simulation state.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: July 9, 2024
    Assignee: Electronic Arts Inc.
    Inventors: Zhaoming Xie, Wolfram Sebastian Starke, Harold Henry Chaput
  • LEARNING CHARACTER MODEL ANIMATIONS WITH A LAYER-WISE MIXTURE-OF-EXPERTS NETWORK
    Publication number: 20230316615
    Abstract: A computing system may provide functionality for controlling an animated model to perform actions and to perform transitions therebetween. The system may determine, from among a plurality of edges from a first node of a control graph to respective other nodes of the control graph, a selected edge from the first control node to a selected node. The system may then determine controls for an animated model in a simulation based at least in part on the selected edge, control data associated with the selected node, a current simulation state of the simulation, and a machine learned algorithm, determine an updated simulation state of the simulation based at least in part on the controls for the animated model, and adapt one or more parameters of the machine learned algorithm based at least in part on the updated simulation state and a desired simulation state.
    Type: Application
    Filed: March 31, 2022
    Publication date: October 5, 2023
    Inventors: Zhaoming Xie, Wolfram Sebastian Starke, Harold Henry Chaput