Invention Grant
- Patent Title: Generating user-customized items using a visually-aware image generation network
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Application No.: US15897856Application Date: 2018-02-15
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Publication No.: US10970765B2Publication Date: 2021-04-06
- Inventor: Chen Fang , Zhaowen Wang , Wangcheng Kang , Julian McAuley
- Applicant: Adobe Inc. , The Regents of the University of California
- Applicant Address: US CA San Jose; US CA Oakland
- Assignee: Adobe Inc.,The Regents of the University of California
- Current Assignee: Adobe Inc.,The Regents of the University of California
- Current Assignee Address: US CA San Jose; US CA Oakland
- Agency: Keller Jolley Preece
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q30/06 ; G06N3/08 ; G06F16/532

Abstract:
The present disclosure relates to a personalized fashion generation system that synthesizes user-customized images using deep learning techniques based on visually-aware user preferences. In particular, the personalized fashion generation system employs an image generative adversarial neural network and a personalized preference network to synthesize new fashion items that are individually customized for a user. Additionally, the personalized fashion generation system can modify existing fashion items to tailor the fashion items to a user's tastes and preferences.
Public/Granted literature
- US20190251612A1 GENERATING USER-CUSTOMIZED ITEMS USING A VISUALLY-AWARE IMAGE GENERATION NETWORK Public/Granted day:2019-08-15
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