Invention Application
- Patent Title: AUTOMATICALLY GENERATING LABELED SYNTHETIC DOCUMENTS
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Application No.: US16690695Application Date: 2019-11-21
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Publication No.: US20210158093A1Publication Date: 2021-05-27
- Inventor: Verena Kaynig-Fittkau , Sruthi Madapoosi Ravi , Richard Cohn , Nikolaos Barmpalios , Michael Kraley , Kanchana Sethu
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06N3/04

Abstract:
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating diverse and realistic synthetic documents using deep learning. In particular, the disclosed systems can utilize a trained neural network to generate realistic image layouts comprising page elements that comply with layout parameters. The disclosed systems can also generate synthetic content corresponding to the page elements within the image layouts. The disclosed systems insert the synthetic content into the corresponding page elements of documents based on the image layouts to generate synthetic documents.
Public/Granted literature
- US11238312B2 Automatically generating labeled synthetic documents Public/Granted day:2022-02-01
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