Patents by Inventor Alfredo Alejandro Acosta Diaz

Alfredo Alejandro Acosta Diaz 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).

  • Frame interpolation with multi-scale deep loss functions and generative adversarial networks
    Patent number: 11122238
    Abstract: A method includes selecting two or more frames from a plurality of frames of a video, downscaling the two or more frames, estimating a flow data based on an optical flow associated with the downscaled two or more frames, upscaling the flow data, generating a refined flow data based on the upscaled flow data and the downscaled two or more frames, upscaling the refined flow data, and synthesizing an image based on the upscaled refined flow data and the two or more frames.
    Type: Grant
    Filed: November 7, 2018
    Date of Patent: September 14, 2021
    Assignee: Twitter, Inc.
    Inventors: Joost van Amersfoort, Wenzhe Shi, Jose Caballero, Alfredo Alejandro Acosta Diaz, Francisco Massa, Johannes Totz, Zehan Wang
  • Real-time video super-resolution with spatio-temporal networks and motion compensation
    Patent number: 10701394
    Abstract: A method includes selecting a plurality of low-resolution frames associated with a video, performing a first motion estimation between a first frame and a second frame, performing a second motion estimation between a third frame and the second frame, generating a high-resolution frame representing the second frame based on the first motion estimation, the second motion estimation and the second frame using a sub-pixel convolutional neural network.
    Type: Grant
    Filed: November 10, 2017
    Date of Patent: June 30, 2020
    Assignee: Twitter, Inc.
    Inventors: Jose Caballero, Christian Ledig, Andrew Aitken, Alfredo Alejandro Acosta Diaz, Lucas Theis, Ferenc Huszar, Johannes Totz, Zehan Wang, Wenzhe Shi