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.

Date of Patent:
Jun. 09, 2026

Filed:

Jun. 27, 2023
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Zhisong Liu, Shenzhen, CN;

Zijia Wang, Weifang, CN;

Min Gong, Shanghai, CN;

Lu Lei, Shanghai, CN;

Zhen Jia, Shanghai, CN;

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/60 (2026.01); G06T 7/11 (2017.01); G06V 10/74 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/80 (2022.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06T 7/11 (2017.01); G06V 10/761 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/806 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for generating images. The method includes acquiring a descriptive text for describing image content of a target image, determining position prior information, and generating the target image based on the descriptive text and position prior information. According to the method of the embodiments of the present disclosure, a target image that can be used for rare data simulation in rare scenarios can be generated by means of an input descriptive text. In addition, the method allows for position perception editing and operation, and can control, based on position prior information, a direction and a position of an object generated in the target image, thereby effectively and diversely generating images. Moreover, the method provided in the present disclosure is based on object types in each subdivided image block, thus making position perception more accurate.


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