公开(公告)号：US11769279B2

公开(公告)日：2023-09-26

申请号：US17317246

申请日：2021-05-11

Applicant: Adobe Inc.

Inventor： Giorgio Gori ,  Tamy Boubekeur ,  Radomir Mech ,  Nathan Aaron Carr ,  Matheus Abrantes Gadelha ,  Duygu Ceylan Aksit

IPC: G06T11/20 ,  G06N20/00 ,  G06T9/00 ,  G06N7/00 ,  G06N7/01

CPC classification number: G06T11/203 ,  G06N7/01 ,  G06N20/00 ,  G06T9/00 ,  G06T2200/24

Abstract: Generative shape creation and editing is leveraged in a digital medium environment. An object editor system represents a set of training shapes as sets of visual elements known as “handles,” and converts sets of handles into signed distance field (SDF) representations. A handle processor model is then trained using the SDF representations to enable the handle processor model to generate new shapes that reflect salient visual features of the training shapes. The trained handle processor model, for instance, generates new sets of handles based on salient visual features learned from the training handle set. Thus, utilizing the described techniques, accurate characterizations of a set of shapes can be learned and used to generate new shapes. Further, generated shapes can be edited and transformed in different ways.

公开(公告)号：US20250117995A1

公开(公告)日：2025-04-10

申请号：US18481719

申请日：2023-10-05

Applicant: ADOBE INC.

Inventor： Yijun Li ,  Matheus Abrantes Gadelha ,  Krishna Kumar Singh ,  Soren Pirk

IPC: G06T11/60 ,  G06T5/00 ,  G06T7/50 ,  G06V10/26

Abstract: Methods, non-transitory computer readable media, apparatuses, and systems for image and depth map generation include receiving a prompt and encoding the prompt to obtain a guidance embedding. A machine learning model then generates an image and a depth map corresponding to the image based on the guidance embedding. The image and the depth map are each generated based on the guidance embedding.

公开(公告)号：US20210264649A1

公开(公告)日：2021-08-26

申请号：US17317246

申请日：2021-05-11

Applicant: Adobe Inc.

Inventor： Giorgio Gori ,  Tamy Boubekeur ,  Radomir Mech ,  Nathan Aaron Carr ,  Matheus Abrantes Gadelha ,  Duygu Ceylan Aksit

IPC: G06T11/20 ,  G06N20/00 ,  G06T9/00 ,  G06N7/00

Abstract: Generative shape creation and editing is leveraged in a digital medium environment. An object editor system represents a set of training shapes as sets of visual elements known as “handles,” and converts sets of handles into signed distance field (SDF) representations. A handle processor model is then trained using the SDF representations to enable the handle processor model to generate new shapes that reflect salient visual features of the training shapes. The trained handle processor model, for instance, generates new sets of handles based on salient visual features learned from the training handle set. Thus, utilizing the described techniques, accurate characterizations of a set of shapes can be learned and used to generate new shapes. Further, generated shapes can be edited and transformed in different ways.

公开(公告)号：US11037341B1

公开(公告)日：2021-06-15

申请号：US16744105

申请日：2020-01-15

Applicant: Adobe Inc.

Inventor： Giorgio Gori ,  Tamy Boubekeur ,  Radomir Mech ,  Nathan Aaron Carr ,  Matheus Abrantes Gadelha ,  Duygu Ceylan Aksit

IPC: G06T11/20 ,  G06N20/00 ,  G06N7/00 ,  G06T9/00

Abstract: Generative shape creation and editing is leveraged in a digital medium environment. An object editor system represents a set of training shapes as sets of visual elements known as “handles,” and converts sets of handles into signed distance field (SDF) representations. A handle processor model is then trained using the SDF representations to enable the handle processor model to generate new shapes that reflect salient visual features of the training shapes. The trained handle processor model, for instance, generates new sets of handles based on salient visual features learned from the training handle set. Thus, utilizing the described techniques, accurate characterizations of a set of shapes can be learned and used to generate new shapes. Further, generated shapes can be edited and transformed in different ways.