Patents by Inventor Xue Fei ZHE

Xue Fei ZHE 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).

  • Face image generation method and apparatus, device, and storage medium
    Patent number: 11380050
    Abstract: A face image generation method includes: determining, according to a first face image, a three dimensional morphable model (3DMM) corresponding to the first face image as a first model; determining, according to a reference element, a 3DMM corresponding to the reference element as a second model, the reference element representing a posture and/or an expression of a target face image; determining, according to the first model and the second model, an initial optical flow map corresponding to the first face image, and deforming the first face image according to the initial optical flow map to obtain an initial deformation map; obtaining, through a convolutional neural network, an optical flow increment map and a visibility probability map that correspond to the first face image; and generating the target face image according to the first face image, the initial optical flow map, the optical flow increment map, and the visibility probability map.
    Type: Grant
    Filed: April 20, 2021
    Date of Patent: July 5, 2022
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Xue Fei Zhe, Yonggen Ling, Lin Chao Bao, Yi Bing Song, Wei Liu
  • FACE IMAGE GENERATION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM
    Publication number: 20210241521
    Abstract: A face image generation method includes: determining, according to a first face image, a three dimensional morphable model (3DMM) corresponding to the first face image as a first model; determining, according to a reference element, a 3DMM corresponding to the reference element as a second model, the reference element representing a posture and/or an expression of a target face image; determining, according to the first model and the second model, an initial optical flow map corresponding to the first face image, and deforming the first face image according to the initial optical flow map to obtain an initial deformation map; obtaining, through a convolutional neural network, an optical flow increment map and a visibility probability map that correspond to the first face image; and generating the target face image according to the first face image, the initial optical flow map, the optical flow increment map, and the visibility probability map.
    Type: Application
    Filed: April 20, 2021
    Publication date: August 5, 2021
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Xue Fei ZHE, Yonggen LING, Lin Chao BAO, Yi Bing SONG, Wei LIU