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:
Apr. 07, 2020

Filed:

Oct. 16, 2017
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Zhe Lin, Fremont, CA (US);

Xin Lu, Mountain View, CA (US);

Xiaohui Shen, San Jose, CA (US);

Jimei Yang, Mountain View, CA (US);

Jiahui Yu, Champaign, IL (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 5/20 (2006.01);
U.S. Cl.
CPC ...
G06T 5/005 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06N 3/0481 (2013.01); G06N 3/08 (2013.01); G06T 5/20 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20104 (2013.01);
Abstract

Digital image completion using deep learning is described. Initially, a digital image having at least one hole is received. This holey digital image is provided as input to an image completer formed with a framework that combines generative and discriminative neural networks based on learning architecture of the generative adversarial networks. From the holey digital image, the generative neural network generates a filled digital image having hole-filling content in place of holes. The discriminative neural networks detect whether the filled digital image and the hole-filling digital content correspond to or include computer-generated content or are photo-realistic. The generating and detecting are iteratively continued until the discriminative neural networks fail to detect computer-generated content for the filled digital image and hole-filling content or until detection surpasses a threshold difficulty. Responsive to this, the image completer outputs the filled digital image with hole-filling content in place of the holey digital image's holes.


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