Invention Grant
- Patent Title: Automated apparel design using machine learning
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Application No.: US16994270Application Date: 2020-08-14
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Publication No.: US11335062B2Publication Date: 2022-05-17
- Inventor: Payal Argarwal , Vaibhav Kumar Daga , Parag Rane , Prasanna Srinivasa Rao , Ratan Yashwant Panjwani
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Norton Rose Fulbright US LLP
- Main IPC: G06T17/20
- IPC: G06T17/20 ; G10L15/26 ; A41D1/00 ; G06N3/04 ; G06F40/35 ; G06N20/00

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.
Information query