Patents by Inventor JOSHUA SCOTT HOBSON

JOSHUA SCOTT HOBSON 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: 11941780
    Abstract: Machine learning is used to generate a first mipmap of a texture having a first compression based on a second mipmap of the same texture and having a second compression without using compression or decompression in generating the first mipmap. The first mipmap can then be used to render a computer graphics object.
    Type: Grant
    Filed: May 11, 2020
    Date of Patent: March 26, 2024
    Assignee: Sony Interactive Entertainment LLC
    Inventor: Joshua Scott Hobson
  • Publication number: 20220092740
    Abstract: Machine learning is used to generate a first mipmap of a texture having a first compression based on a second mipmap of the same texture and having a second compression without using compression or decompression in generating the first mipmap. The first mipmap can then be used to render a computer graphics object. Training can be done using as input decompressed blocks from originally compressed blocks.
    Type: Application
    Filed: September 10, 2021
    Publication date: March 24, 2022
    Inventor: Joshua Scott Hobson
  • Publication number: 20210350503
    Abstract: Machine learning is used to generate a first mipmap of a texture having a first compression based on a second mipmap of the same texture and having a second compression without using compression or decompression in generating the first mipmap. The first mipmap can then be used to render a computer graphics obj ect.
    Type: Application
    Filed: May 11, 2020
    Publication date: November 11, 2021
    Inventor: Joshua Scott Hobson
  • Publication number: 20210312592
    Abstract: A method for super-resolution of block-compressed texture is provided. The method includes receiving a first texture block of a first block size. Based on application of a first block compression (BC) scheme on the received first texture block, coded-texture values are generated in a compressed domain. Further, a first machine learning model is applied on the generated coded-texture values to generate super-resolution coded-texture values in the compressed domain. The generated super-resolution coded-texture values are processed to generate a second texture block of a second block size. The second block size is greater than the first block size.
    Type: Application
    Filed: March 30, 2021
    Publication date: October 7, 2021
    Inventors: MING-CHANG LIU, LIYU GONG, KO-KAI ALBERT HUANG, JOSHUA SCOTT HOBSON