Patents by Inventor Celong Liu

Celong Liu 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: 12190558
    Abstract: A computer-implemented method for transforming a neural radiance field model is described. A plurality of inputs are provided to a neural radiance field (NeRF) model that represents a 3-dimensional space having a subject, wherein each input of the plurality of inputs includes a location and a view direction and corresponds to respective colors of voxels that represent the 3-dimensional space. A spectral analysis is performed on a plurality of outputs of the NeRF model based on the plurality of inputs, wherein the plurality of outputs include the respective colors of the voxels. Frequency components of the spectral analysis that represent colors for at least some of the voxels are extracted. A sparse volume data structure that represents the 3-dimensional space and the respective colors for the at least some of the voxels is generated.
    Type: Grant
    Filed: June 10, 2022
    Date of Patent: January 7, 2025
    Assignee: Lemon Inc.
    Inventors: Celong Liu, Lelin Zhang, Qingyu Chen, Yunzhu Li, Haoze Li, Xing Mei
  • Publication number: 20240386651
    Abstract: Examples of memory-efficient volume data structures for novel view rendering are provided. In one aspect, a computing device for rendering a model volume data structure is provided. The computing device comprises a processor coupled to a storage medium that stores instructions, which, upon execution by the processor, cause the processor to store the model volume data structure, wherein the model volume data structure comprises a B+ tree graph, determine a camera view in which to render the model volume data structure, determine a plurality of rays in three-dimensional space based on the camera view, for each ray in the plurality of rays, perform a ray-marching process using the model volume data structure to determine a plurality of color features, and render the model volume data structure using the pluralities of color features.
    Type: Application
    Filed: May 15, 2023
    Publication date: November 21, 2024
    Inventors: Celong Liu, Xing Mei
  • Publication number: 20240160662
    Abstract: A graphics-specific search engine receives a search input from a user account for a media platform, determines a search query parsed from the input, and searches a graphics-specific database for existing images that correspond to the search query. An image generator generates new images that correspond to the search query when the search result does not exceed a predetermined number. A graphics display engine sends a plurality of the images to an instance of an account for a media platform.
    Type: Application
    Filed: November 11, 2022
    Publication date: May 16, 2024
    Inventors: Kin Chung Wong, Blake Garrett Fuselier, Jing Liu, Jeffrey Jia-Jun Chen, Celong Liu, Tiancheng Zhi
  • Publication number: 20230401815
    Abstract: A computer-implemented method for transforming a neural radiance field model is described. A plurality of inputs are provided to a neural radiance field (NeRF) model that represents a 3-dimensional space having a subject, wherein each input of the plurality of inputs includes a location and a view direction and corresponds to respective colors of voxels that represent the 3-dimensional space. A spectral analysis is performed on a plurality of outputs of the NeRF model based on the plurality of inputs, wherein the plurality of outputs include the respective colors of the voxels. Frequency components of the spectral analysis that represent colors for at least some of the voxels are extracted. A sparse volume data structure that represents the 3-dimensional space and the respective colors for the at least some of the voxels is generated.
    Type: Application
    Filed: June 10, 2022
    Publication date: December 14, 2023
    Inventors: Celong Liu, Lelin Zhang, Qingyu Chen, Yunzhu Li, Haoze Li, Xing Mei