Patents by Inventor Robert Pottorff

Robert Pottorff 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).

  • Video prediction using one or more neural networks
    Patent number: 11902705
    Abstract: Apparatuses, systems, and techniques to enhance video are disclosed. In at least one embodiment, one or more neural networks are used to create, from a first video, a second video having one or more additional video frames.
    Type: Grant
    Filed: September 3, 2019
    Date of Patent: February 13, 2024
    Assignee: NVIDIA CORPORATION
    Inventors: Kevin Shih, Aysegul Dundar, Animesh Garg, Robert Pottorff, Andrew Tao, Bryan Catanzaro
  • Image enhancement using one or more neural networks
    Patent number: 11810268
    Abstract: Apparatuses, systems, and techniques are presented to generate images with one or more visual effects applied. In at least one embodiment, one or more visual effects are applied to one or more images having a resolution that is less than a first resolution and those visual effects approximated for one or more images having a resolution that is greater than or equal to the first resolution.
    Type: Grant
    Filed: February 4, 2022
    Date of Patent: November 7, 2023
    Assignee: NVIDIA Corporation
    Inventors: Robert Pottorff, David Tarjan, Andrew Tao, Bryan Catanzaro
  • PIXEL BLENDING FOR NEURAL NETWORK-BASED IMAGE GENERATION
    Publication number: 20220405987
    Abstract: Apparatuses, systems, and techniques are presented to generate one or more images. In at least one embodiment, two or more pixels from two or more images are blended based, at least in part, on a distance of the two or more pixels from a region of the two or more images, in which pixel colors are substantially similar.
    Type: Application
    Filed: June 18, 2021
    Publication date: December 22, 2022
    Inventors: Robert Pottorff, Karan Sapra, Andrew Tao, Bryan Catanzaro, Jarmo Lunden
  • IMAGE ENHANCEMENT USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20220156883
    Abstract: Apparatuses, systems, and techniques are presented to generate images with one or more visual effects applied. In at least one embodiment, one or more visual effects are applied to one or more images having a resolution that is less than a first resolution and those visual effects approximated for one or more images having a resolution that is greater than or equal to the first resolution.
    Type: Application
    Filed: February 4, 2022
    Publication date: May 19, 2022
    Inventors: Robert Pottorff, David Tarjan, Andrew Tao, Bryan Catanzaro
  • IMAGE BLENDING USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20220148256
    Abstract: Apparatuses, systems, and techniques are presented to reconstruct one or more images. In at least one embodiment, one or more neural networks are used to determine one or more blending weights for one or more images based, at least in part, upon one or more pixel value masks for the one or more images.
    Type: Application
    Filed: November 11, 2020
    Publication date: May 12, 2022
    Inventors: Shiqiu Liu, Robert Pottorff, Andrew Tao, Bryan Catanzaro
  • UPSAMPLING AN IMAGE USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20220138903
    Abstract: Apparatuses, systems, and techniques are presented to train one or more neural networks. In at least one embodiment, one or more neural networks are trained based, at least in part, on one or more image sequences, where backpropagation is performed using one or more subsets of images from the one or more image sequences.
    Type: Application
    Filed: November 4, 2020
    Publication date: May 5, 2022
    Inventors: Shiqiu Liu, Robert Pottorff, Andrew Tao, Bryan Catanzaro
  • TRAINING ONE OR MORE NEURAL NETWORKS USING SYNTHETIC DATA
    Publication number: 20220130013
    Abstract: Apparatuses, systems, and techniques are presented to train one or more neural networks. In at least one embodiment, one or more neural networks are trained based, at least in part, on two or more versions of an image, wherein each of the two or more versions of the image are to be synthetically generated independently.
    Type: Application
    Filed: October 26, 2020
    Publication date: April 28, 2022
    Inventors: Robert Pottorff, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
  • UPSAMPLING AN IMAGE USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20220114701
    Abstract: Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more images using one or more pixel weights determined based, at least in part, on one or more sub-pixel offset values.
    Type: Application
    Filed: February 10, 2021
    Publication date: April 14, 2022
    Inventors: Shiqiu Liu, Robert Pottorff, Guilin Liu, Karan Sapra, Jon Barker, David Tarjan, Pekka Janis, Edvard Fagerholm, Lei Yang, Kevin Shih, Marco Salvi, Timo Roman, Andrew Tao, Bryan Catanzaro
  • UPSAMPLING AN IMAGE USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20220114700
    Abstract: Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more images using one or more pixel weights determined based, at least in part, on one or more sub-pixel offset values.
    Type: Application
    Filed: October 8, 2020
    Publication date: April 14, 2022
    Inventors: Shiqiu Liu, Robert Pottorff, Guilin Liu, Karan Sapra, Jon Barker, David Tarjan, Pekka Janis, Edvard Fagerholm, Lei Yang, Kevin Shih, Marco Salvi, Timo Roman, Andrew Tao, Bryan Catanzaro
  • UPSAMPLING AN IMAGE USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20220114702
    Abstract: Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more images using one or more pixel weights.
    Type: Application
    Filed: August 19, 2021
    Publication date: April 14, 2022
    Inventors: Shiqiu Liu, Robert Pottorff, Guilin Liu, Karan Sapra, Jon Barker, David Tarjan, Pekka Janis, Edvard Fagerholm, Lei Yang, Kevin Jonathan Shih, Marco Salvi, Timo Roman, Andrew Tao, Bryan Catanzaro
  • IMAGE ENHANCEMENT USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20220067879
    Abstract: Apparatuses, systems, and techniques are presented to generate images with one or more visual effects applied. In at least one embodiment, one or more visual effects are applied to one or more images having a resolution that is less than a first resolution and those visual effects approximated for one or more images having a resolution that is greater than or equal to the first resolution.
    Type: Application
    Filed: September 3, 2020
    Publication date: March 3, 2022
    Inventors: Robert Pottorff, David Tarjan, Andrew Tao, Bryan Catanzaro
  • IMAGE ENHANCEMENT USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20210383505
    Abstract: Apparatuses, systems, and techniques are presented to generate images with one or more visual effects applied. In at least one embodiment, one or more visual effects are applied to one or more images having a resolution that is less than a first resolution and those visual effects approximated for one or more images having a resolution that is greater than or equal to the first resolution.
    Type: Application
    Filed: August 19, 2021
    Publication date: December 9, 2021
    Inventors: Robert Pottorff, David Tarjan, Andrew Tao, Bryan Catanzaro
  • VIDEO PREDICTION USING ONE OR MORE NEURAL NETWORKS
    Publication number: 20210064925
    Abstract: Apparatuses, systems, and techniques to enhance video are disclosed. In at least one embodiment, one or more neural networks are used to create, from a first video, a second video having one or more additional video frames.
    Type: Application
    Filed: September 3, 2019
    Publication date: March 4, 2021
    Inventors: Kevin Shih, Aysegul Dundar, Animesh Garg, Robert Pottorff, Andrew Tao, Bryan Catanzaro