公开(公告)号：US20240361891A1

公开(公告)日：2024-10-31

申请号：US18311705

申请日：2023-05-03

Applicant: Adobe Inc.

Inventor： Archie Bagnall

IPC: G06F3/04845 ,  G06T3/40 ,  G06T11/60

CPC classification number: G06F3/04845 ,  G06T3/40 ,  G06T11/60 ,  G06F3/04842 ,  G06F2203/04803 ,  G06F2203/04806 ,  G06T2200/24

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implement graphical user interfaces for image editing via semantic histories. For instance, in some embodiments, the disclosed systems provide, for display within a graphical user interface of a client device, a semantic history log that includes visual representations of a first semantic state of a digital image and a second semantic state that reflects a first semantic change in the digital image from the first semantic state. Additionally, the disclosed systems detect a user selection of a visual representation of the first semantic state and provide the digital image in the first semantic state for display in response. Further, the disclosed systems modify the digital image in response to one or more user interactions with the digital image and update the semantic history log to include a visual representation reflecting the change.

公开(公告)号：US20220270310A1

公开(公告)日：2022-08-25

申请号：US17182492

申请日：2021-02-23

Applicant: Adobe Inc.

Inventor： Akhilesh Kumar ,  Baldo Faieta ,  Piotr Walczyszyn ,  Ratheesh Kalarot ,  Archie Bagnall ,  Shabnam Ghadar ,  Wei-An Lin ,  Cameron Smith ,  Christian Cantrell ,  Patrick Hebron ,  Wilson Chan ,  Jingwan Lu ,  Holger Winnemoeller ,  Sven Olsen

IPC: G06T11/60 ,  G06N3/04 ,  G06T11/20

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

公开(公告)号：US20240362758A1

公开(公告)日：2024-10-31

申请号：US18311638

申请日：2023-05-03

Applicant: Adobe Inc.

Inventor： Archie Bagnall

IPC: G06T5/00 ,  G06F40/40 ,  G06V20/70

CPC classification number: G06T5/77 ,  G06F40/40 ,  G06V20/70 ,  G06T2207/20084 ,  G06T2207/20092

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate and implement semantic histories for digital image editing. For instance, in some embodiments, the disclosed systems determine, for a digital image, a first semantic state and a second semantic state that reflects a first semantic change in the digital image from the first semantic state. Additionally, the disclosed systems determine, for the digital image, a third semantic state that reflects a second semantic change in the digital image from the first semantic state. The disclosed systems further generate a semantic history log for the digital image, the semantic history log including a first editing branch corresponding to the second semantic state and a second editing branch corresponding the third semantic state. Based on one or more user interactions with the semantic history log, the disclosed systems modify the digital image.

公开(公告)号：US11727614B2

公开(公告)日：2023-08-15

申请号：US17182492

申请日：2021-02-23

Applicant: Adobe Inc.

Inventor： Akhilesh Kumar ,  Baldo Faieta ,  Piotr Walczyszyn ,  Ratheesh Kalarot ,  Archie Bagnall ,  Shabnam Ghadar ,  Wei-An Lin ,  Cameron Smith ,  Christian Cantrell ,  Patrick Hebron ,  Wilson Chan ,  Jingwan Lu ,  Holger Winnemoeller ,  Sven Olsen

IPC: G06T11/60 ,  G06T11/20 ,  G06N3/04

CPC classification number: G06T11/60 ,  G06N3/04 ,  G06T11/203

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

公开(公告)号：US20240362815A1

公开(公告)日：2024-10-31

申请号：US18304176

申请日：2023-04-20

Applicant: Adobe Inc.

Inventor： Jeremy Joachim ,  Archie Bagnall

IPC: G06T7/70

CPC classification number: G06T7/70 ,  G06T2207/10016

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify two-dimensional images via scene-based editing using three-dimensional representations of the two-dimensional images. For instance, in one or more embodiments, the disclosed systems utilize three-dimensional representations of two-dimensional images to generate and modify shadows in the two-dimensional images according to various shadow maps. Additionally, the disclosed systems utilize three-dimensional representations of two-dimensional images to modify humans in the two-dimensional images. The disclosed systems also utilize three-dimensional representations of two-dimensional images to provide scene scale estimation via scale fields of the two-dimensional images. In some embodiments, the disclosed systems utilizes three-dimensional representations of two-dimensional images to generate and visualize 3D planar surfaces for modifying objects in two-dimensional images. The disclosed systems further use three-dimensional representations of two-dimensional images to customize focal points for the two-dimensional images.

公开(公告)号：US12014452B2

公开(公告)日：2024-06-18

申请号：US18449604

申请日：2023-08-14

Applicant: Adobe Inc.

Inventor： Akhilesh Kumar ,  Baldo Faieta ,  Piotr Walczyszyn ,  Ratheesh Kalarot ,  Archie Bagnall ,  Shabnam Ghadar ,  Wei-An Lin ,  Cameron Smith ,  Christian Cantrell ,  Patrick Hebron ,  Wilson Chan ,  Jingwan Lu ,  Holger Winnemoeller ,  Sven Olsen

IPC: G06T11/60 ,  G06N3/04 ,  G06T11/20

CPC classification number: G06T11/60 ,  G06N3/04 ,  G06T11/203

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.

公开(公告)号：US20230386114A1

公开(公告)日：2023-11-30

申请号：US18449604

申请日：2023-08-14

Applicant: Adobe Inc.

Inventor： Akhilesh Kumar ,  Baldo Faieta ,  Piotr Walczyszyn ,  Ratheesh Kalarot ,  Archie Bagnall ,  Shabnam Ghadar ,  Wei-An Lin ,  Cameron Smith ,  Christian Cantrell ,  Patrick Hebron ,  Wilson Chan ,  Jingwan Lu ,  Holger Winnemoeller ,  Sven Olsen

IPC: G06T11/60 ,  G06T11/20 ,  G06N3/04

CPC classification number: G06T11/60 ,  G06N3/04 ,  G06T11/203

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.