公开(公告)号：US12033251B2

公开(公告)日：2024-07-09

申请号：US17586604

申请日：2022-01-27

Applicant: Adobe Inc.

Inventor： Gregory Cy Muscolino ,  Christian Cantrell ,  Archie Samuel Bagnall ,  Christopher James Gammon ,  Patrick James Hebron

IPC: G06T11/40 ,  G06N20/00 ,  G06V10/70

CPC classification number: G06T11/40 ,  G06N20/00 ,  G06V10/70

Abstract: Embodiments are disclosed for creating and managing semantic layers in a graphic design system. A method of creating and managing semantic layers includes receiving a selection of a content type to be generated, receiving a selection of a location in a digital canvas to place content of the content type, generating, using one or more machine learning models, content of the selected content type at the location in the digital canvas, and automatically adding the content to a layer associated with the digital canvas based on a semantic label associated with the content.

公开(公告)号：US12223562B2

公开(公告)日：2025-02-11

申请号：US17586613

申请日：2022-01-27

Applicant: Adobe Inc.

Inventor： Gregory Cy Muscolino ,  Christian Cantrell ,  Archie Samuel Bagnall ,  Christopher James Gammon ,  Patrick James Hebron

IPC: G06T11/00 ,  G06F3/0481 ,  G06F3/04842

Abstract: Embodiments are disclosed for semantically organizing a graphic design document. A method of semantically organizing a graphic design document can include obtaining a document, identifying a plurality of layers associated with the document, determining a plurality of semantic labels associated with the plurality of layers, determining a semantic layer hierarchy of the plurality of layers, and organizing the plurality of layers based at least on the semantic layer hierarchy.

公开(公告)号：US12260475B2

公开(公告)日：2025-03-25

申请号：US17586609

申请日：2022-01-27

Applicant: Adobe Inc.

Inventor： Gregory Cy Muscolino ,  Christian Cantrell ,  Archie Samuel Bagnall ,  Christopher James Gammon ,  Patrick James Hebron

IPC: G06T11/60 ,  G06V10/70

Abstract: Embodiments are disclosed for performing content linting in a graphic design system. A method of content linting includes receiving a selection of a content type to be generated, receiving a selection of a location in a digital canvas to place content of the content type, determining a placement context associated with the location in the digital canvas, identifying one or more content rules to the content based on a static analysis of the placement context, and generating, using one or more machine learning models, content of the selected content type at the location in the digital canvas using the one or more content rules.