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:
Jul. 07, 2026

Filed:

Jan. 29, 2019
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

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

Xun Huang, New York, NY (US);

Tero Karras, Uusimaa, FI;

Timo Aila, Helsinki, FI;

Jaakko Lehtinen, Uusimaa, FI;

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/088 (2023.01); G06F 18/214 (2023.01); G06F 18/2431 (2023.01); G06T 3/02 (2024.01); G06T 3/60 (2024.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06F 18/214 (2023.01); G06F 18/2431 (2023.01); G06T 3/02 (2024.01); G06T 3/60 (2013.01); G06T 7/74 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A few-shot, unsupervised image-to-image translation ('FUNIT') algorithm is disclosed that accepts as input images of previously-unseen target classes. These target classes are specified at inference time by only a few images, such as a single image or a pair of images, of an object of the target type. A FUNIT network can be trained using a data set containing images of many different object classes, in order to translate images from one class to another class by leveraging few input images of the target class. By learning to extract appearance patterns from the few input images for the translation task, the network learns a generalizable appearance pattern extractor that can be applied to images of unseen classes at translation time for a few-shot image-to-image translation task.


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