公开(公告)号：US20240119646A1

公开(公告)日：2024-04-11

申请号：US18541377

申请日：2023-12-15

Applicant: Adobe Inc.

Inventor： Paridhi Maheshwari ,  Vishwa Vinay ,  Shraiysh Vaishay ,  Praneetha Vaddamanu ,  Nihal Jain ,  Dhananjay Bhausaheb Raut

IPC: G06T11/00 ,  G06F40/30 ,  G06V10/40

CPC classification number: G06T11/001 ,  G06F40/30 ,  G06V10/40 ,  G06T2207/10024 ,  G06T2207/20081

Abstract: Digital image text editing techniques as implemented by an image processing system are described that support increased user interaction in the creation and editing of digital images through understanding a content creator's intent as expressed using text. In one example, a text user input is received by a text input module. The text user input describes a visual object and a visual attribute, in which the visual object specifies a visual context of the visual attribute. A feature representation generated by a text-to-feature system using a machine-learning module based on the text user input. The feature representation is passed to an image editing system to edit a digital object in a digital image, e.g., by applying a texture to an outline of the digital object within the digital image.

公开(公告)号：US11915343B2

公开(公告)日：2024-02-27

申请号：US17111819

申请日：2020-12-04

Applicant: ADOBE INC.

Inventor： Paridhi Maheshwari ,  Vishwa Vinay ,  Dhananjay Raut ,  Nihal Jain ,  Praneetha Vaddamanu ,  Shraiysh Vaishay

IPC: G06T11/00 ,  G06F40/253 ,  G06F40/30 ,  G06V10/56 ,  G06F18/24 ,  G06F18/214 ,  G06N3/08 ,  G06N3/044

CPC classification number: G06T11/001 ,  G06F18/214 ,  G06F18/24 ,  G06F40/253 ,  G06F40/30 ,  G06N3/044 ,  G06N3/08 ,  G06V10/56

Abstract: Systems and methods for color representation are described. Embodiments of the inventive concept are configured to receive an attribute-object pair including a first term comprising an attribute label and a second term comprising an object label, encode the attribute-object pair to produce encoded features using a neural network that orders the first term and the second term based on the attribute label and the object label, and generate a color profile for the attribute-object pair based on the encoded features, wherein the color profile is based on a compositional relationship between the first term and the second term.

公开(公告)号：US11887217B2

公开(公告)日：2024-01-30

申请号：US17079844

申请日：2020-10-26

Applicant: Adobe Inc.

Inventor： Paridhi Maheshwari ,  Vishwa Vinay ,  Shraiysh Vaishay ,  Praneetha Vaddamanu ,  Nihal Jain ,  Dhananjay Bhausaheb Raut

IPC: G06T11/00 ,  G06F40/30 ,  G06V10/40

CPC classification number: G06T11/001 ,  G06F40/30 ,  G06V10/40 ,  G06T2207/10024 ,  G06T2207/20081

Abstract: Digital image text editing techniques as implemented by an image processing system are described that support increased user interaction in the creation and editing of digital images through understanding a content creator's intent as expressed using text. In one example, a text user input is received by a text input module. The text user input describes a visual object and a visual attribute, in which the visual object specifies a visual context of the visual attribute. A feature representation generated by a text-to-feature system using a machine-learning module based on the text user input. The feature representation is passed to an image editing system to edit a digital object in a digital image, e.g., by applying a texture to an outline of the digital object within the digital image.

公开(公告)号：US20220130078A1

公开(公告)日：2022-04-28

申请号：US17079844

申请日：2020-10-26

Applicant: Adobe Inc.

Inventor： Paridhi Maheshwari ,  Vishwa Vinay ,  Shraiysh Vaishay ,  Praneetha Vaddamanu ,  Nihal Jain ,  Dhananjay Bhausaheb Raut

IPC: G06T11/00 ,  G06F40/30 ,  G06K9/46

Abstract: Digital image text editing techniques as implemented by an image processing system are described that support increased user interaction in the creation and editing of digital images through understanding a content creator's intent as expressed using text. In one example, a text user input is received by a text input module. The text user input describes a visual object and a visual attribute, in which the visual object specifies a visual context of the visual attribute. A feature representation generated by a text-to-feature system using a machine-learning module based on the text user input. The feature representation is passed to an image editing system to edit the digital object in the digital image, e.g., by applying a texture to an outline of the digital object within the digital image.