Invention Grant
- Patent Title: Machine learning training method, system, and device
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Application No.: US17557431Application Date: 2021-12-21
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Publication No.: US11631162B2Publication Date: 2023-04-18
- Inventor: Brian Lynn Price , Yinan Zhao , Scott David Cohen
- 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: G06T5/00
- IPC: G06T5/00 ; G06T5/50 ; G06T11/40 ; G06T7/33 ; G06T3/00 ; G06N3/04 ; G06N3/08 ; G06N3/084

Abstract:
Fill techniques as implemented by a computing device are described to perform hole filling of a digital image. In one example, deeply learned features of a digital image using machine learning are used by a computing device as a basis to search a digital image repository to locate the guidance digital image. Once located, machine learning techniques are then used to align the guidance digital image with the hole to be filled in the digital image. Once aligned, the guidance digital image is then used to guide generation of fill for the hole in the digital image. Machine learning techniques are used to determine which parts of the guidance digital image are to be blended to fill the hole in the digital image and which parts of the hole are to receive new content that is synthesized by the computing device.
Public/Granted literature
- US20220114705A1 Digital Image Fill Public/Granted day:2022-04-14
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