Invention Grant
- Patent Title: Utilizing a transformer-based generative language model to generate digital design document variations
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Application No.: US17652044Application Date: 2022-02-22
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Publication No.: US11644961B1Publication Date: 2023-05-09
- Inventor: Oliver Brdiczka , Alexandru Vasile Costin , Ionut Mironica , Vlad-Constantin Lungu-Stan
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06F3/04845 ; G06F40/106 ; G06F40/284 ; G06T7/60

Abstract:
The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a design language model and a generative language model to generate digital design documents with design variations. In particular embodiments, the disclosed systems implement the design language model to tokenize the design of a document into a sequence of language tokens. For example, the disclosed systems tokenize visual elements and a layout of the document—in addition to optional user-added content. The generative language model utilizes the sequence of language tokens to predict a next language token representing a suggested design variation. Based on the predicted language token, the disclosed systems generate a modified digital design document visually portraying the suggested design variation. Further, in one or more embodiments, the disclosed systems perform iterative refinements to the modified digital design document.
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