• Patent Title: GENERATING A MULTI-MODAL VECTOR REPRESENTING A SOURCE FONT AND IDENTIFYING A RECOMMENDED FONT UTILIZING A MULTI-MODAL FONT MACHINE-LEARNING MODEL
  • Application No.: US18051720
    Application Date: 2022-11-01
  • Publication No.: US20240143897A1
    Publication Date: 2024-05-02
  • Inventor: Pranay KumarNipun 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
GENERATING A MULTI-MODAL VECTOR REPRESENTING A SOURCE FONT AND IDENTIFYING A RECOMMENDED FONT UTILIZING A MULTI-MODAL FONT MACHINE-LEARNING MODEL
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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