Patents by Inventor Anton Sochenov

Anton Sochenov 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).

  • Systems and methods for generating and transmitting image sequences based on sampled color information
    Patent number: 10846888
    Abstract: In one embodiment, a method for generating completed frames from sparse data may access sample datasets associated with a sequence of frames, respectively. Each sample dataset may comprise incomplete pixel information of the associated frame. The system may generate, using a first machine-learning model, the sequence of frames, each having complete pixel information, based on the sample datasets. The first machine-learning model is configured to retain spatio-temporal representations associated with the generated frames. The system may then access a next sample dataset comprising incomplete pixel information of a next frame after the sequence of frames. The system may generate, using the first machine-learning model, the next frame based on the next sample dataset.
    Type: Grant
    Filed: November 15, 2018
    Date of Patent: November 24, 2020
    Assignee: Facebook Technologies, LLC
    Inventors: Anton S. Kaplanyan, Anton Sochenov, Thomas Sebastian Leimkuhler, Warren Andrew Hunt
  • Systems and Methods for Generating and Transmitting Image Sequences Based on Sampled Color Information
    Publication number: 20200098139
    Abstract: In one embodiment, a method for generating completed frames from sparse data may access sample datasets associated with a sequence of frames, respectively. Each sample dataset may comprise incomplete pixel information of the associated frame. The system may generate, using a first machine-learning model, the sequence of frames, each having complete pixel information, based on the sample datasets. The first machine-learning model is configured to retain spatio-temporal representations associated with the generated frames. The system may then access a next sample dataset comprising incomplete pixel information of a next frame after the sequence of frames. The system may generate, using the first machine-learning model, the next frame based on the next sample dataset.
    Type: Application
    Filed: November 15, 2018
    Publication date: March 26, 2020
    Inventors: Anton S. Kaplanyan, Anton Sochenov, Thomas Sebastian Leimkuhler, Warren Andrew Hunt