The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 22, 2024
Filed:
Jun. 10, 2021
Applicant:
Ping an Technology (Shenzhen) Co., Ltd., Shenzhen, CN;
Inventors:
Yuchuan Gou, Sunnyvale, CA (US);
Qiancheng Wu, Berkeley, CA (US);
Minghao Li, Mountain View, CA (US);
Bo Gong, Belmont, CA (US);
Mei Han, Palo Alto, CA (US);
Assignee:
Ping An Technology (Shenzhen) Co., Ltd., Shenzhen, CN;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06F 18/213 (2023.01); G06F 40/126 (2020.01); G06F 40/20 (2020.01); G06F 40/279 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06N 3/02 (2006.01); G06N 3/045 (2023.01); G06N 3/0475 (2023.01); G06T 11/00 (2006.01); G06V 10/70 (2022.01); G06V 10/82 (2022.01); H04N 21/81 (2011.01);
U.S. Cl.
CPC ...
G06T 11/00 (2013.01); G06F 18/213 (2023.01); G06F 40/126 (2020.01); G06F 40/20 (2020.01); G06F 40/279 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06N 3/02 (2013.01); G06N 3/045 (2023.01); G06N 3/0475 (2023.01); G06V 10/70 (2022.01); G06V 10/768 (2022.01); G06V 10/82 (2022.01); H04N 21/8153 (2013.01); G06T 2207/20084 (2013.01);
Abstract
A method and device for image generation are provided. The method includes: obtaining a text describing a content of an image to be generated; extracting, using a text encoder, a text feature vector from the text; determining a semantic mask as spatial constraints of the image to be generated; and automatically generating the image using a generative adversarial network (GAN) model according to the semantic mask and the text feature vector.