Utilizing a transformer-based generative language model to generate digital design document variations

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United States of America

PATENT NO 12254170
APP PUB NO 20230305690A1
SERIAL NO

18313529

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Abstract

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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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  • ADOBE INC.

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  • 2023 Application Filing Year
  • G06Q Class
  • 14028 Applications Filed
  • 3695 Patents Issued To-Date
  • 26.35 % Issued To-Date
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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Brdiczka, Oliver San Jose, US 80 1231
Costin, Alexandru Vasile Monte Sereno, US 13 25
Lungu-Stan, Vlad-Constantin Buzau, RO 6 0
Mironica, Ionut Bucharest, RO 15 19

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