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:
May. 17, 2022

Filed:

Aug. 14, 2020
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Payal Argarwal, Mumbai, IN;

Vaibhav Kumar Daga, Jaipur, IN;

Parag Rane, Thane, IN;

Prasanna Srinivasa Rao, Bengaluru, IN;

Ratan Yashwant Panjwani, Thane, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/20 (2006.01); G10L 15/26 (2006.01); A41D 1/00 (2018.01); G06N 3/04 (2006.01); G06F 40/35 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06T 17/20 (2013.01); A41D 1/00 (2013.01); G06F 40/35 (2020.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); G10L 15/26 (2013.01);
Abstract

Aspects of the present disclosure provide systems, methods, and computer-readable storage media facilitating automated apparel design using deep learning techniques. For example, user instructions may be received as text data (or converted to text data from audio data representing user speech), and natural language processing (NLP) may be performed on the text data to interpret the user instructions. An apparel design may be generated in real-time/substantially real-time based on the user instructions. For example, the interpreted user instructions may be provided as input to at least one machine learning (ML) model that is configured to determine one or more visual apparel elements based on the user instructions and to generate the apparel design based on the visual apparel elements. One or more operations may be initiated based on the apparel design.


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