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:
Feb. 16, 2021

Filed:

Mar. 14, 2019
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Seung-Hwan Baek, Seoul, KR;

Kihwan Kim, Campbell, CA (US);

Jinwei Gu, San Jose, CA (US);

Orazio Gallo, Santa Cruz, CA (US);

Alejandro Jose Troccoli, San Jose, CA (US);

Ming-Yu Liu, San Jose, CA (US);

Jan Kautz, Lexington, MA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06K 9/72 (2006.01); G06T 5/50 (2006.01); G06K 9/62 (2006.01); G06T 3/40 (2006.01);
U.S. Cl.
CPC ...
G06T 5/005 (2013.01); G06K 9/6256 (2013.01); G06K 9/726 (2013.01); G06T 3/4046 (2013.01); G06T 5/50 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Missing image content is generated using a neural network. In an embodiment, a high resolution image and associated high resolution semantic label map are generated from a low resolution image and associated low resolution semantic label map. The input image/map pair (low resolution image and associated low resolution semantic label map) lacks detail and is therefore missing content. Rather than simply enhancing the input image/map pair, data missing in the input image/map pair is improvised or hallucinated by a neural network, creating plausible content while maintaining spatio-temporal consistency. Missing content is hallucinated to generate a detailed zoomed in portion of an image. Missing content is hallucinated to generate different variations of an image, such as different seasons or weather conditions for a driving video.


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Baek, Seung-Hwan. (2021). Guided hallucination for missing image content using a neural network (U.S. Patent No. 10922793). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10922793

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