Patents by Inventor Samaneh Azadi

Samaneh Azadi 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).

  • Sampling from a generator neural network using a discriminator neural network
    Patent number: 11514313
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a data sample in response to a request for a data sample. In one aspect, a method comprises: receiving a request for a new data sample; until a candidate new data sample is generated that satisfies an acceptance criterion, performing operations comprising: generating a candidate new data sample using a generator neural network; processing the candidate new data sample using a discriminator neural network to generate an imitation score; and determining, from the imitation score, whether the candidate new data sample satisfies the acceptance criterion; and providing the candidate new data sample that satisfies the acceptance criterion in response to the received request.
    Type: Grant
    Filed: September 24, 2019
    Date of Patent: November 29, 2022
    Assignee: Google LLC
    Inventors: Samaneh Azadi, Ian Goodfellow, Catherine Olsson, Augustus Quadrozzi Odena
  • Synthesizing new font glyphs from partial observations
    Patent number: 10621760
    Abstract: Techniques are disclosed for the synthesis of a full set of slotted content, based upon only partial observations of the slotted content. With respect to a font, the slots may comprise particular letters or symbols or glyphs in an alphabet. Based upon partial observations of a subset of glyphs from a font, a full set of the glyphs corresponding to the font may be synthesized and may further be ornamented.
    Type: Grant
    Filed: June 15, 2018
    Date of Patent: April 14, 2020
    Assignee: Adobe Inc.
    Inventors: Matthew David Fisher, Samaneh Azadi, Vladimir Kim, Elya Shechtman, Zhaowen Wang
  • SAMPLING FROM A GENERATOR NEURAL NETWORK USING A DISCRIMINATOR NEURAL NETWORK
    Publication number: 20200104707
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a data sample in response to a request for a data sample. In one aspect, a method comprises: receiving a request for a new data sample; until a candidate new data sample is generated that satisfies an acceptance criterion, performing operations comprising: generating a candidate new data sample using a generator neural network; processing the candidate new data sample using a discriminator neural network to generate an imitation score; and determining, from the imitation score, whether the candidate new data sample satisfies the acceptance criterion; and providing the candidate new data sample that satisfies the acceptance criterion in response to the received request.
    Type: Application
    Filed: September 24, 2019
    Publication date: April 2, 2020
    Inventors: Samaneh Azadi, Ian Goodfellow, Catherine Olsson, Augustus Quadrozzi Odena
  • SYNTHESIZING NEW FONT GLYPHS FROM PARTIAL OBSERVATIONS
    Publication number: 20190385346
    Abstract: Techniques are disclosed for the synthesis of a full set of slotted content, based upon only partial observations of the slotted content. With respect to a font, the slots may comprise particular letters or symbols or glyphs in an alphabet. Based upon partial observations of a subset of glyphs from a font, a full set of the glyphs corresponding to the font may be synthesized and may further be ornamented.
    Type: Application
    Filed: June 15, 2018
    Publication date: December 19, 2019
    Applicant: Adobe Inc.
    Inventors: Matthew David Fisher, Samaneh Azadi, Vladimir Kim, Elya Shechtman, Zhaowen Wang