Patents by Inventor Jay Ha Whang

Jay Ha Whang 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).

  • Patent number: 11978141
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. In one aspect, a method includes: receiving an input text prompt including a sequence of text tokens in a natural language; processing the input text prompt using a text encoder neural network to generate a set of contextual embeddings of the input text prompt; and processing the contextual embeddings through a sequence of generative neural networks to generate a final output image that depicts a scene that is described by the input text prompt.
    Type: Grant
    Filed: May 19, 2023
    Date of Patent: May 7, 2024
    Assignee: Google LLC
    Inventors: Chitwan Saharia, William Chan, Mohammad Norouzi, Saurabh Saxena, Yi Li, Jay Ha Whang, David James Fleet, Jonathan Ho
  • Patent number: 11908180
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium. In one aspect, a method includes receiving a text prompt describing a scene; processing the text prompt using a text encoder neural network to generate a contextual embedding of the text prompt; and processing the contextual embedding using a sequence of generative neural networks to generate a final video depicting the scene.
    Type: Grant
    Filed: March 24, 2023
    Date of Patent: February 20, 2024
    Assignee: Google LLC
    Inventors: Jonathan Ho, William Chan, Chitwan Saharia, Jay Ha Whang, Tim Salimans
  • Publication number: 20230377226
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. In one aspect, a method includes: receiving an input text prompt including a sequence of text tokens in a natural language; processing the input text prompt using a text encoder neural network to generate a set of contextual embeddings of the input text prompt; and processing the contextual embeddings through a sequence of generative neural networks to generate a final output image that depicts a scene that is described by the input text prompt.
    Type: Application
    Filed: May 19, 2023
    Publication date: November 23, 2023
    Inventors: Chitwan Saharia, William Chan, Mohammad Norouzi, Saurabh Saxena, Yi Li, Jay Ha Whang, David James Fleet, Jonathan Ho