Invention Publication
- Patent Title: GENERATING A MULTI-MODAL VECTOR REPRESENTING A SOURCE FONT AND IDENTIFYING A RECOMMENDED FONT UTILIZING A MULTI-MODAL FONT MACHINE-LEARNING MODEL
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Application No.: US18051720Application Date: 2022-11-01
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Publication No.: US20240143897A1Publication Date: 2024-05-02
- Inventor: Pranay Kumar , Nipun Jindal
- 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: G06F40/109
- IPC: G06F40/109

Abstract:
The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a multi-modal vector and identifies a recommended font corresponding to the source font based on the multi-modal vector. For instance, in one or more embodiments, the disclosed systems receive an indication of a source font and determines font embeddings and glyph metrics embedding. Furthermore, the disclosed system generates, utilizing a multi-modal font machine-learning model, a multi-modal vector representing the source font based on the font embeddings and the glyph metrics embedding.
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