公开(公告)号：US20240273285A1

公开(公告)日：2024-08-15

申请号：US18638275

申请日：2024-04-17

Applicant: Adobe Inc.

Inventor： Anand Khanna ,  Oliver Brdiczka ,  Alexandru Vasile Costin

IPC: G06F40/186 ,  G06F40/30 ,  G06N3/08

CPC classification number: G06F40/186 ,  G06F40/30 ,  G06N3/08

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that provides to a user a subset of digital design templates as recommendations based on a creative segment classification and template classifications. For instance, in one or more embodiments, the disclosed systems generate the creative segment classification for the user and determines geo-seasonal intent data. Furthermore, the disclosed system generates template classifications using a machine learning model based on geo-seasonality and creative intent. In doing so, the disclosed system identifies a subset of digital design templates based on the template classifications, geo-seasonal intent data, and the creative segment classification of the user.

公开(公告)号：US11989505B2

公开(公告)日：2024-05-21

申请号：US17938253

申请日：2022-10-05

Applicant: Adobe Inc.

Inventor： Anand Khanna ,  Oliver Brdiczka ,  Alexandru Vasile Costin

IPC: G06F40/186 ,  G06F40/30 ,  G06N3/08

CPC classification number: G06F40/186 ,  G06F40/30 ,  G06N3/08

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that provides to a user a subset of digital design templates as recommendations based on a creative segment classification and template classifications. For instance, in one or more embodiments, the disclosed systems generate the creative segment classification for the user and determines geo-seasonal intent data. Furthermore, the disclosed system generates template classifications using a machine learning model based on geo-seasonality and creative intent. In doing so, the disclosed system identifies a subset of digital design templates based on the template classifications, geo-seasonal intent data, and the creative segment classification of the user.

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.

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.

公开(公告)号：US20250111139A1

公开(公告)日：2025-04-03

申请号：US18903274

申请日：2024-10-01

Applicant: ADOBE INC.

Inventor： Ionut Mironicä ,  Oliver Brdiczka ,  Ashutosh Sharma ,  Anand Khanna ,  Stefan Daniel Dumitrescu ,  Nikolaos Vlassis ,  Alok Kumar Singh

IPC: G06F40/186 ,  G06F40/40 ,  G06T11/60

Abstract: A method, apparatus, non-transitory computer readable medium, and system for generating a design document from a text prompt include obtaining a design prompt that describes a document type and selecting a design template for the document type based on the design prompt. An image generation model generates an image for the design template based on the design prompt and a design document is generated based on the design template. The design document has the document type and includes the image at a location indicated by the design template.

公开(公告)号：US20240119230A1

公开(公告)日：2024-04-11

申请号：US17938253

申请日：2022-10-05

Applicant: Adobe Inc.

Inventor： Anand Khanna ,  Oliver Brdiczka ,  Alexandru Vasile Costin

IPC: G06F40/186 ,  G06F40/30 ,  G06N3/08

CPC classification number: G06F40/186 ,  G06F40/30 ,  G06N3/08

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that provides to a user a subset of digital design templates as recommendations based on a creative segment classification and template classifications. For instance, in one or more embodiments, the disclosed systems generate the creative segment classification for the user and determines geo-seasonal intent data. Furthermore, the disclosed system generates template classifications using a machine learning model based on geo-seasonality and creative intent. In doing so, the disclosed system identifies a subset of digital design templates based on the template classifications, geo-seasonal intent data, and the creative segment classification of the user.