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:
Oct. 08, 2024

Filed:

Nov. 03, 2021
Applicant:

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

Inventors:

Sharmila Reddy Nangi, Hyderabad, IN;

Niyati Himanshu Chhaya, Hyderabad, IN;

Hyman Chung, San Ramon, CA (US);

Harshit Nyati, Kota, IN;

Nikhil Kaushik, Panchkula, IN;

Sopan Khosla, Pittsburgh, PA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/253 (2020.01); G06F 3/04847 (2022.01); G06F 40/151 (2020.01); G06F 40/166 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/253 (2020.01); G06F 3/04847 (2013.01); G06F 40/151 (2020.01); G06F 40/166 (2020.01); G06F 40/30 (2020.01);
Abstract

A text style transfer system is described that generates different stylized versions of input text by rewriting the input text according to a target style. To do so, the text style transfer system employs a variational autoencoder to derive separate content and style representations for the input text, where the content representation specifies semantic information conveyed by the input text and the style representation specifies one or more style attributes expressed by the input text. The style representation using counterfactual reasoning to identify different transfer strengths for applying the target style to the input text. Each transfer strength represents a minimum change to the input text that achieves a different expression of the target style. The transfer strengths are then used to generate style representation variants, which are each concatenated with the content representation of the input text to generate the plurality of different stylized versions of the input text.


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