Invention Application
- Patent Title: MULTI-DIMENSIONAL LANGUAGE STYLE TRANSFER
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Application No.: US17073258Application Date: 2020-10-16
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Publication No.: US20220121879A1Publication Date: 2022-04-21
- Inventor: Navita Goyal , Balaji Vasan Srinivasan , Anandha velu Natarajan , Abhilasha Sancheti
- 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 ; G06F40/205

Abstract:
In some embodiments, a style transfer computing system generates a set of discriminator models corresponding to a set of styles based on a set of training datasets labeled for respective styles. The style transfer computing system further generates a style transfer language model for a target style combination that includes multiple target styles from the set of styles. The style transfer language model includes a cascaded language model and multiple discriminator models selected from the set of discriminator models. The style transfer computing system trains the style transfer language model to minimize a loss function containing a loss term for the cascaded language model and multiple loss terms for the multiple discriminator models. For a source sentence and a given target style combination, the style transfer computing system applies the style transfer language model on the source sentence to generate a target sentence in the given target style combination.
Public/Granted literature
- US11487971B2 Multi-dimensional language style transfer Public/Granted day:2022-11-01
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