Patents by Inventor Mingyi Shi

Mingyi Shi 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).

  • ENHANCED ANIMATION GENERATION BASED ON VIDEO WITH LOCAL PHASE
    Publication number: 20230394735
    Abstract: Embodiments of the systems and methods described herein provide a dynamic animation generation system that can apply a real-life video clip with a character in motion to a first neural network to receive rough motion data, such as pose information, for each of the frames of the video clip, and overlay the pose information on top of the video clip to generate a modified video clip. The system can identify a sliding window that includes a current frame, past frames, and future frames of the modified video clip, and apply the modified video clip to a second neural network to predict a next frame. The dynamic animation generation system can then move the sliding window to the next frame while including the predicted next frame, and apply the new sliding window to the second neural network to predict the following frame to the next frame.
    Type: Application
    Filed: June 5, 2023
    Publication date: December 7, 2023
    Inventors: Mingyi Shi, Yiwei Zhao, Wolfram Sebastian Starke, Mohsen Sardari, Navid Aghdaie
  • Enhanced animation generation based on video with local phase
    Patent number: 11670030
    Abstract: Embodiments of the systems and methods described herein provide a dynamic animation generation system that can apply a real-life video clip with a character in motion to a first neural network to receive rough motion data, such as pose information, for each of the frames of the video clip, and overlay the pose information on top of the video clip to generate a modified video clip. The system can identify a sliding window that includes a current frame, past frames, and future frames of the modified video clip, and apply the modified video clip to a second neural network to predict a next frame. The dynamic animation generation system can then move the sliding window to the next frame while including the predicted next frame, and apply the new sliding window to the second neural network to predict the following frame to the next frame.
    Type: Grant
    Filed: July 1, 2021
    Date of Patent: June 6, 2023
    Assignee: ELECTRONIC ARTS INC.
    Inventors: Mingyi Shi, Yiwei Zhao, Wolfram Sebastian Starke, Mohsen Sardari, Navid Aghdaie
  • ENHANCED ANIMATION GENERATION BASED ON VIDEO WITH LOCAL PHASE
    Publication number: 20230005203
    Abstract: Embodiments of the systems and methods described herein provide a dynamic animation generation system that can apply a real-life video clip with a character in motion to a first neural network to receive rough motion data, such as pose information, for each of the frames of the video clip, and overlay the pose information on top of the video clip to generate a modified video clip. The system can identify a sliding window that includes a current frame, past frames, and future frames of the modified video clip, and apply the modified video clip to a second neural network to predict a next frame. The dynamic animation generation system can then move the sliding window to the next frame while including the predicted next frame, and apply the new sliding window to the second neural network to predict the following frame to the next frame.
    Type: Application
    Filed: July 1, 2021
    Publication date: January 5, 2023
    Inventors: Mingyi Shi, Yiwei Zhao, Wolfram Sebastian Starke, Mohsen Sardari, Navid Aghdaie