Patents by Inventor Andreas Blattmann

Andreas Blattmann 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).

  • HIGH-RESOLUTION VIDEO GENERATION USING IMAGE DIFFUSION MODELS
    Publication number: 20250142145
    Abstract: In various examples, systems and methods are disclosed relating to aligning images into frames of a first video using at least one first temporal attention layer of a neural network model. The first video has a first spatial resolution. A second video having a second spatial resolution is generated by up-sampling the first video using at least one second temporal attention layer of an up-sampler neural network model, wherein the second spatial resolution is higher than the first spatial resolution.
    Type: Application
    Filed: January 6, 2025
    Publication date: May 1, 2025
    Applicant: NVIDIA Corporation
    Inventors: Karsten Julian Kreis, Robin Rombach, Andreas Blattmann, Seung Wook Kim, Huan Ling, Sanja Fidler, Tim Dockhorn
  • Content synthesis using generative Artificial Intelligence model
    Patent number: 12271978
    Abstract: A method including receiving a prompt describing a desired characteristic of an image. The method further including generating, using a set of encoding models, a prompt encoding based on the prompt. The method further including generating, using a first transformer block of a diffusion transformer model, a first prompt embedding and a first image embedding based on the prompt encoding and a noise input. The method further including generating, using a second transformer block of the diffusion transformer model, a second image embedding based on the first image embedding and the first prompt embedding. The method further including generating the image based on the second image embedding.
    Type: Grant
    Filed: September 11, 2024
    Date of Patent: April 8, 2025
    Assignee: Stability AI Ltd
    Inventors: Rahim Entezari, Patrick Esser, Robin Rombach, Andreas Blattmann
  • High-resolution video generation using image diffusion models
    Patent number: 12192547
    Abstract: In various examples, systems and methods are disclosed relating to aligning images into frames of a first video using at least one first temporal attention layer of a neural network model. The first video has a first spatial resolution. A second video having a second spatial resolution is generated by up-sampling the first video using at least one second temporal attention layer of an up-sampler neural network model, wherein the second spatial resolution is higher than the first spatial resolution.
    Type: Grant
    Filed: March 10, 2023
    Date of Patent: January 7, 2025
    Assignee: NVIDIA Corporation
    Inventors: Karsten Julian Kreis, Robin Rombach, Andreas Blattmann, Seung Wook Kim, Huan Ling, Sanja Fidler, Tim Dockhorn
  • HIGH-RESOLUTION VIDEO GENERATION USING IMAGE DIFFUSION MODELS
    Publication number: 20240171788
    Abstract: In various examples, systems and methods are disclosed relating to aligning images into frames of a first video using at least one first temporal attention layer of a neural network model. The first video has a first spatial resolution. A second video having a second spatial resolution is generated by up-sampling the first video using at least one second temporal attention layer of an up-sampler neural network model, wherein the second spatial resolution is higher than the first spatial resolution.
    Type: Application
    Filed: March 10, 2023
    Publication date: May 23, 2024
    Applicant: NVIDIA Corporation
    Inventors: Karsten Julian Kreis, Robin Rombach, Andreas Blattmann, Seung Wook Kim, Huan Ling, Sanja Fidler, Tim Dockhorn