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公开(公告)号：US20250111137A1
公开(公告)日：2025-04-03
申请号：US18477978
申请日：2023-09-29
Applicant: ADOBE INC.
IPC: G06F40/186 , G06F40/126 , G06F40/30 , G06F40/40
Abstract: Systems and methods for generating full designs from text include retrieving a plurality of document templates based on a design prompt, and filtering the document templates based on an image prompt. A document template is then selected based on the filtering, and a document is generated based on the document template and the image prompt. Embodiments are further configured to generate content from one or more of the prompts, where the content is included in the final design document.
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公开(公告)号：US11644961B1
公开(公告)日：2023-05-09
申请号：US17652044
申请日：2022-02-22
Applicant: Adobe Inc.
IPC: G06Q30/02 , G06F3/04845 , G06F40/106 , G06F40/284 , G06T7/60
CPC classification number: 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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公开(公告)号：US20220113996A1
公开(公告)日：2022-04-14
申请号：US17069637
申请日：2020-10-13
Applicant: Adobe Inc.
Inventor： Oliver Brdiczka , Robert Alley , Kyoung Tak Kim , Kevin Gary Smith , Aliakbar Darabi
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
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公开(公告)号：US20210303784A1
公开(公告)日：2021-09-30
申请号：US16836462
申请日：2020-03-31
Applicant: Adobe Inc.
Inventor： Oliver Brdiczka , Ajinkya Kale , Piyush Chandra , Tracy King , Abhishek Gupta , Sourabh Goel , Nitin Garg , Deepika Naryani , Feroz Ahmad , Vikas Sagar
Abstract: The present disclosure relates to systems for identifying instances of natural language input, determining intent classifications associated with instances of natural language input, and generating responses based on the determined intent classifications. In particular, the disclosed systems intelligently identify and group instances of natural language input based on characteristics of the user input. Additionally, the disclosed systems determine intent classifications for the instances of natural language input based message queuing in order to delay responses to the user input in ways that increase accuracy of the responses, while retaining a conversational aspect of the ongoing chat. Moreover, in one or more embodiments, the disclosed systems generate responses utilizing natural language.
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5.发明授权公开(公告)号：US12266076B2
公开(公告)日：2025-04-01
申请号：US18328272
申请日：2023-06-02
Applicant: Adobe Inc.
Inventor： David Bourgin , Peter O'Donovan , Oliver Brdiczka , Gregory St. Pierre , Abhishek Gulati
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a design representation to further construct a digital design multigraph and generate a structural representation for a digital design document from the digital design multigraph. For instance, the disclosed systems generate a design representation of a digital design document that includes design properties with multiple digital design elements. In particular, the disclosed systems construct a digital design (multi-)graph from the design representation by generating nodes to represent digital design elements and edges based on relationships between these elements. In addition, the disclosed systems generate a structural representation based on the digital design multigraph for downstream applications. For instance, downstream applications include utilizing the structural representation to select a resizing model from a plurality of resizing models and resizing a digital design document using the structural representation.
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Patent Agency Ranking
公开(公告)号：US20240338406A1
公开(公告)日：2024-10-10
申请号：US18351339
申请日：2023-07-12
Applicant: Adobe Inc.
Inventor： Anand Khanna , Oliver Brdiczka , Nikolaos Vlassis
IPC: G06F16/56 , G06F16/583
CPC classification number: G06F16/56 , G06F16/583
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilizes embedding vectors to identify a subset of digital design templates to recommend to a client device based on individual user events. For instance, the disclosed systems extract metadata from digital design templates and generate, utilizing a transformer, a plurality of embedding vectors for the digital design templates from the extracted metadata. Further, the disclosed system generates, utilizing the transformer, a user embedding vector from one or more user events of a user. Moreover, the disclosed system utilizes identifies, utilizing a similarity search model, a subset of digital design templates from the digital design templates to recommend to the user by identifying one or more embedding vectors of the plurality of embedding vectors that satisfy a similarity threshold to the user embedding vector.
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公开(公告)号：US11886809B1
公开(公告)日：2024-01-30
申请号：US17977730
申请日：2022-10-31
Applicant: Adobe Inc.
Inventor： Nipun Jindal , Anand Khanna , Oliver Brdiczka
IPC: G06F17/00 , G06F40/186 , G06N3/08 , G06F3/0484 , G06F40/109 , G06F40/30
CPC classification number: G06F40/186 , G06F3/0484 , G06F40/109 , G06F40/30 , G06N3/08
Abstract: In implementations of systems for identifying templates based on fonts, a computing device implements an identification system to receive input data describing a selection of a font included in a collection of fonts. The identification system generates an embedding that represents the font in a latent space using a machine learning model trained on training data to generate embeddings for digital templates in the latent space based on intent phrases associated with the digital templates and embeddings for fonts in the latent space based on intent phrases associated with the fonts. A digital template included in a collection of digital templates is identified based on the embedding that represents the font and an embedding that represents the digital template in the latent space. The identification system generates an indication of the digital template for display in a user interface.
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8.发明授权公开(公告)号：US11829710B2
公开(公告)日：2023-11-28
申请号：US17583818
申请日：2022-01-25
Applicant: Adobe Inc.
Inventor： Oliver Brdiczka , Sanat Sharma , Jayant Kumar , Alexandru Vasile Costin , Aliakbar Darabi , Kushith Amerasinghe
IPC: G06F40/166 , G06F40/106 , G06F16/58 , G06F40/12 , G06F16/38 , G06V30/413
CPC classification number: G06F40/166 , G06F16/5866 , G06F40/106 , G06F40/12 , G06F16/38 , G06V30/413
Abstract: An illustrator system accesses a multi-element document, the multi-element document including a plurality of elements. The illustrator system determines, for each of the plurality of elements, an element-specific topic distribution comprising a ranked list of topics. The illustrator system creates a first aggregated topic distribution from the determined element-specific topic distributions. The illustrator system determines a global intent for the multi-element document, the global intent including one or more terms from the first aggregated topic distribution. The illustrator system queries a database using the global intent to retrieve a substitute element. The illustrator system generates a replacement multi-element document that includes a substitute element in place of an element in the multi-element document The at least one substitute element is different from the element in the displayed multi-element document.
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公开(公告)号：US11467857B2
公开(公告)日：2022-10-11
申请号：US17069637
申请日：2020-10-13
Applicant: Adobe Inc.
Inventor： Oliver Brdiczka , Robert Alley , Kyoung Tak Kim , Kevin Gary Smith , Aliakbar Darabi
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
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10.发明授权公开(公告)号：US12254170B2
公开(公告)日：2025-03-18
申请号：US18313529
申请日：2023-05-08
Applicant: Adobe Inc.
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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