Invention Grant
- Patent Title: Generating images for virtual try-on and pose transfer
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Application No.: US17678237Application Date: 2022-02-23
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Publication No.: US11861772B2Publication Date: 2024-01-02
- Inventor: Ayush Chopra , Rishabh Jain , Mayur Hemani , Balaji Krishnamurthy
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: FIG. 1 Patents
- Main IPC: G06T11/60
- IPC: G06T11/60 ; G06N3/045 ; G06T7/11 ; G06T7/70 ; G06N3/044 ; G06N3/08

Abstract:
In implementations of systems for generating images for virtual try-on and pose transfer, a computing device implements a generator system to receive input data describing a first digital image that depicts a person in a pose and a second digital image that depicts a garment. Candidate appearance flow maps are computed that warp the garment based on the pose at different pixel-block sizes using a first machine learning model. The generator system generates a warped garment image by combining the candidate appearance flow maps as an aggregate per-pixel displacement map using a convolutional gated recurrent network. A conditional segment mask is predicted that segments portions of a geometry of the person using a second machine learning model. The generator system outputs a digital image that depicts the person in the pose wearing the garment based on the warped garment image and the conditional segmentation mask using a third machine learning model.
Public/Granted literature
- US20230267663A1 Generating Images for Virtual Try-On and Pose Transfer Public/Granted day:2023-08-24
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