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公开(公告)号：US20210097084A1
公开(公告)日：2021-04-01
申请号：US16585159
申请日：2019-09-27
Applicant: Adobe Inc.
Inventor： Subham Gupta , Arnab Sil , Anuradha
Abstract: Techniques are disclosed for generating tutorial recommendations to users of image editing applications, based on image content. A methodology implementing the techniques according to an embodiment includes using neural networks configured to determine subject matter of a user provided image and to identify objects in the image. The method also includes selecting one or more proposed tutorials from a database of tutorials. The database is indexed by tutorial subject matter and tutorial object content, and the selection is based on a matching of the determined subject matter to the tutorial subject matter and a matching of the identified objects to the tutorial object content. The method further includes calculating an effectiveness score associated with each of the proposed tutorials, the effectiveness score based on application of the proposed tutorial to the image. The method further includes sorting the proposed tutorials for recommendation to the user based on the effectiveness scores.
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Patent Agency Ranking
公开(公告)号：US12243121B2
公开(公告)日：2025-03-04
申请号：US17890461
申请日：2022-08-18
Applicant: Adobe Inc.
Inventor： Subham Gupta , Arnab Sil , Anuradha
Abstract: In implementations of systems for generating and propagating personal masking edits, a computing device implements a mask system to detect a face of a person depicted in a digital image displayed in a user interface of an application for editing digital content. The mask system determines an identifier for the person based on an identifier for the face. Edit data is received describing properties of an editing operation and a type of mask used to modify a particular portion of the person depicted in the digital image. The mask system edits an additional digital image identified based on the identifier of the person using the type of mask and the properties of the editing operation to modify the particular portion of the person as depicted in the additional digital image.
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公开(公告)号：US12182913B2
公开(公告)日：2024-12-31
申请号：US17823429
申请日：2022-08-30
Applicant: Adobe Inc.
Inventor： Arnab Sil , Akash Srivastava , Bhavana , Gorantla Meghana
IPC: G06T11/60 , G06F16/432
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that recommend editing presets based on editing intent. For instance, in one or more embodiments, the disclosed systems receive, from a client device, a user query corresponding to a digital image to be edited. The disclosed systems extract, from the user query, an editing intent for editing the digital image. Further, the disclosed systems determine an editing preset that corresponds to the editing intent based on an editing state of an edited digital image associated with the editing preset. The disclosed systems generate a recommendation for the editing preset for provision to the client device.
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公开(公告)号：US20240062431A1
公开(公告)日：2024-02-22
申请号：US17890461
申请日：2022-08-18
Applicant: Adobe Inc.
Inventor： Subham Gupta , Arnab Sil , Anuradha
CPC classification number: G06T11/00 , G06V40/166 , G06V40/172 , G06T7/11 , G06V10/26 , G06V40/171 , G06T2200/24 , G06T2207/20081 , G06T2207/30201
Abstract: In implementations of systems for generating and propagating personal masking edits, a computing device implements a mask system to detect a face of a person depicted in a digital image displayed in a user interface of an application for editing digital content. The mask system determines an identifier for the person based on an identifier for the face. Edit data is received describing properties of an editing operation and a type of mask used to modify a particular portion of the person depicted in the digital image. The mask system edits an additional digital image identified based on the identifier of the person using the type of mask and the properties of the editing operation to modify the particular portion of the person as depicted in the additional digital image.
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公开(公告)号：US11854131B2
公开(公告)日：2023-12-26
申请号：US17147931
申请日：2021-01-13
Applicant: Adobe Inc.
Inventor： Subham Gupta , Arnab Sil , Anuradha
CPC classification number: G06T11/60 , G06N20/00 , G06T11/20 , G06T7/11 , G06T2210/12
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for generating object-specific-preset edits to be later applied to other digital images depicting a same object type or applying a previously generated object-specific-preset edit to an object of the same object type within a target digital image. For example, in some cases, the disclosed systems generate an object-specific-preset edit by determining a region of a particular localized edit in an edited digital image, identifying an edited object corresponding to the localized edit, and storing in a digital-image-editing document an object tag for the edited object and instructions for the localized edit. In certain implementations, the disclosed systems further apply such an object-specific-preset edit to a target object in a target digital image by determining transformed-positioning parameters for a localized edit from the object-specific-preset edit to the target object.
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公开(公告)号：US11086889B2
公开(公告)日：2021-08-10
申请号：US16585159
申请日：2019-09-27
Applicant: Adobe Inc.
Inventor： Subham Gupta , Arnab Sil , Anuradha
IPC: G06F16/2457 , G06K9/62 , G06T7/00 , G06N3/04 , G06N3/08
Abstract: Techniques are disclosed for generating tutorial recommendations to users of image editing applications, based on image content. A methodology implementing the techniques according to an embodiment includes using neural networks configured to determine subject matter of a user provided image and to identify objects in the image. The method also includes selecting one or more proposed tutorials from a database of tutorials. The database is indexed by tutorial subject matter and tutorial object content, and the selection is based on a matching of the determined subject matter to the tutorial subject matter and a matching of the identified objects to the tutorial object content. The method further includes calculating an effectiveness score associated with each of the proposed tutorials, the effectiveness score based on application of the proposed tutorial to the image. The method further includes sorting the proposed tutorials for recommendation to the user based on the effectiveness scores.
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