Patents by Inventor Michiel van de Panne

Michiel van de Panne 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).

  • Character controllers using motion variational autoencoders (MVAEs)
    Patent number: 11972353
    Abstract: Some embodiments herein can include methods and systems for predicting next poses of a character within a virtual gaming environment. The pose prediction system can identify a current pose of a character, generate a gaussian distribution representing a sample of likely poses based on the current pose, and apply the gaussian distribution to the decoder. The decoder can be trained to generate a predicted pose based on a gaussian distribution of likely poses. The system can then render the predicted next pose of the character within the three-dimensional virtual gaming environment. Advantageously, the pose prediction system can apply a decoder that does not include or use input motion capture data that was used to train the decoder.
    Type: Grant
    Filed: January 21, 2021
    Date of Patent: April 30, 2024
    Assignee: Electronic Arts Inc.
    Inventors: Fabio Zinno, George Cheng, Hung Yu Ling, Michiel van de Panne
  • CHARACTER CONTROLLERS USING MOTION VARIATIONAL AUTOENCODERS (MVAES)
    Publication number: 20210220739
    Abstract: Some embodiments herein can include methods and systems for predicting next poses of a character within a virtual gaming environment. The pose prediction system can identify a current pose of a character, generate a gaussian distribution representing a sample of likely poses based on the current pose, and apply the gaussian distribution to the decoder. The decoder can be trained to generate a predicted pose based on a gaussian distribution of likely poses. The system can then render the predicted next pose of the character within the three-dimensional virtual gaming environment. Advantageously, the pose prediction system can apply a decoder that does not include or use input motion capture data that was used to train the decoder.
    Type: Application
    Filed: January 21, 2021
    Publication date: July 22, 2021
    Inventors: Fabio Zinno, George Cheng, Hung Yu Ling, Michiel van de Panne
  • Joint-aware manipulation of deformable models
    Patent number: 8498846
    Abstract: This disclosure describes a joint-aware deformation framework that supports the direct manipulation of an arbitrary mix of rigid and deformable components. The deformation framework may include at least a joint-analysis and a joint-aware deformation enabling a more realistic deformation of a joint-aware model.
    Type: Grant
    Filed: February 25, 2010
    Date of Patent: July 30, 2013
    Assignee: Microsoft Corporation
    Inventors: Weiwei Xu, Kangkang Yin, Baining Guo, Jun Wang, Kun Zhou, Michiel van de Panne
  • Joint-Aware Manipulation of Deformable Models
    Publication number: 20110208492
    Abstract: This disclosure describes a joint-aware deformation framework that supports the direct manipulation of an arbitrary mix of rigid and deformable components. The deformation framework may include at least a joint-analysis and a joint-aware deformation enabling a more realistic deformation of a joint-aware model.
    Type: Application
    Filed: February 25, 2010
    Publication date: August 25, 2011
    Applicant: Microsoft Corporation
    Inventors: Weiwei Xu, Kangkang Yin, Baining Guo, Jun Wang, Kun Zhou, Michiel van de Panne