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公开(公告)号：US11676283B2
公开(公告)日：2023-06-13
申请号：US17660361
申请日：2022-04-22
Applicant: Adobe Inc.
Inventor： Zichuan Liu , Wentian Zhao , Shitong Wang , He Qin , Yumin Jia , Yeojin Kim , Xin Lu , Jen-Chan Chien
IPC: G06T7/11
CPC classification number: G06T7/11 , G06T2207/20084
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate refined segmentation masks for digital visual media items. For example, in one or more embodiments, the disclosed systems utilize a segmentation refinement neural network to generate an initial segmentation mask for a digital visual media item. The disclosed systems further utilize the segmentation refinement neural network to generate one or more refined segmentation masks based on uncertainly classified pixels identified from the initial segmentation mask. To illustrate, in some implementations, the disclosed systems utilize the segmentation refinement neural network to redetermine whether a set of uncertain pixels corresponds to one or more objects depicted in the digital visual media item based on low-level (e.g., local) feature values extracted from feature maps generated for the digital visual media item.
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公开(公告)号：US11501413B2
公开(公告)日：2022-11-15
申请号：US16950320
申请日：2020-11-17
Applicant: Adobe Inc.
Inventor： Haiting Lin , Yumin Jia , Jen-Chan Chien
Abstract: Embodiments are disclosed for generating lens blur effects. The disclosed systems and methods comprise receiving a request to apply a lens blur effect to an image, the request identifying an input image and a first disparity map, generating a plurality of disparity maps and a plurality of distance maps based on the first disparity map, splatting influences of pixels of the input image using a plurality of reshaped kernel gradients, gathering aggregations of the splatted influences, and determining a lens blur for a first pixel of the input image in an output image based on the gathered aggregations of the splatted influences.
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公开(公告)号：US10592548B2
公开(公告)日：2020-03-17
申请号：US14828085
申请日：2015-08-17
Applicant: Adobe Inc.
Inventor： Zeke Koch , Baldo Faieta , Jen-Chan Chien , Mark M. Randall , Olivier Sirven , Philipp Koch , Dennis G. Nicholson
Abstract: Image search persona techniques and systems are described. In one or more implementations, a digital medium environment is described for controlling image searches by one or more computing devices. An image search request and an indication of one or more personas of one or more respective users associated with the image search request is received by the one or more computing devices. The one or more personas specify characteristics of the one or more respective users themselves. A plurality of images are obtained by the one or more computing devices based on the image search request. The plurality of images are filtered by the one or more computing devices based on the one or more personas and a search result is generated by the one or more computing devices from the filtered plurality of images.
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公开(公告)号：US20220245824A1
公开(公告)日：2022-08-04
申请号：US17660361
申请日：2022-04-22
Applicant: Adobe Inc.
Inventor： Zichuan Liu , Wentian Zhao , Shitong Wang , He Qin , Yumin Jia , Yeojin Kim , Xin Lu , Jen-Chan Chien
IPC: G06T7/11
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate refined segmentation masks for digital visual media items. For example, in one or more embodiments, the disclosed systems utilize a segmentation refinement neural network to generate an initial segmentation mask for a digital visual media item. The disclosed systems further utilize the segmentation refinement neural network to generate one or more refined segmentation masks based on uncertainly classified pixels identified from the initial segmentation mask. To illustrate, in some implementations, the disclosed systems utilize the segmentation refinement neural network to redetermine whether a set of uncertain pixels corresponds to one or more objects depicted in the digital visual media item based on low-level (e.g., local) feature values extracted from feature maps generated for the digital visual media item.
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公开(公告)号：US11288727B2
公开(公告)日：2022-03-29
申请号：US16673774
申请日：2019-11-04
Applicant: Adobe Inc.
Inventor： Zeke Koch , Baldo Antonio Faieta , Jen-Chan Chien , Mark M. Randall , Olivier Sirven , Philipp Koch , Dennis G. Nicholson
IPC: G06F7/00 , G06Q30/06 , G06F21/16 , G06Q50/18 , G06F16/9535 , G06F16/583 , G06F16/58
Abstract: Content creation suggestion techniques are described. In one or more implementations, techniques are implemented to generate suggestions that are usable to guide creative professionals in the creation of content such as images, video, sound, multimedia, and so forth. A variety of techniques are usable to generate suggestions for the content professionals. In a first such example, suggestions are based on shared characteristics of images obtained by users of a content sharing service, e.g., licensed by the users. In another example, suggestions are generated by the content sharing service based on keywords used to locate the images. In a further example, suggestions are generated based on data described communications performed using social network services. In yet another example, recognition of failure of search is used to generate suggestions. A variety of other examples are also contemplated and described herein.
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Patent Agency Ranking
公开(公告)号：US20200065875A1
公开(公告)日：2020-02-27
申请号：US16673774
申请日：2019-11-04
Applicant: Adobe Inc.
Inventor： Zeke Koch , Baldo Antonio Faieta , Jen-Chan Chien , Mark M. Randall , Olivier Sirven , Philipp Koch , Dennis G. Nicholson
IPC: G06Q30/06 , G06F21/16 , G06Q50/18 , G06F16/9535 , G06F16/583 , G06F16/58
Abstract: Content creation suggestion techniques are described. In one or more implementations, techniques are implemented to generate suggestions that are usable to guide creative professionals in the creation of content such as images, video, sound, multimedia, and so forth. A variety of techniques are usable to generate suggestions for the content professionals. In a first such example, suggestions are based on shared characteristics of images obtained by users of a content sharing service, e.g., licensed by the users. In another example, suggestions are generated by the content sharing service based on keywords used to locate the images. In a further example, suggestions are generated based on data described communications performed using social network services. In yet another example, recognition of failure of search is used to generate suggestions. A variety of other examples are also contemplated and described herein.
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公开(公告)号：US11869172B2
公开(公告)日：2024-01-09
申请号：US18055161
申请日：2022-11-14
Applicant: Adobe Inc.
Inventor： Haiting Lin , Yumin Jia , Jen-Chan Chien
Abstract: Embodiments are disclosed for generating lens blur effects. The disclosed systems and methods comprise receiving a request to apply a lens blur effect to an image, the request identifying an input image and a first disparity map, generating a plurality of disparity maps and a plurality of distance maps based on the first disparity map, splatting influences of pixels of the input image using a plurality of reshaped kernel gradients, gathering aggregations of the splatted influences, and determining a lens blur for a first pixel of the input image in an output image based on the gathered aggregations of the splatted influences.
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公开(公告)号：US20240346234A1
公开(公告)日：2024-10-17
申请号：US18300721
申请日：2023-04-14
Applicant: ADOBE INC.
Inventor： Xinyang Zhang , Wentian Zhao , Xin Lu , Jen-Chan Chien
IPC: G06F40/166 , G06F40/103 , G06V30/41
CPC classification number: G06F40/166 , G06F40/103 , G06V30/41
Abstract: Systems and methods for document processing are provided. One aspect of the systems and methods includes obtaining a prompt including a document description describing a plurality of elements. A plurality of image assets are generated based on the prompt using a generative neural network. In some cases, the plurality of image assets correspond to the plurality of elements of the document description. A structured document is then generated that matches the document description. In some cases the structured document includes the plurality of image assets and metadata describing a relationship between the plurality of image assets.
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公开(公告)号：US11335004B2
公开(公告)日：2022-05-17
申请号：US16988408
申请日：2020-08-07
Applicant: Adobe Inc.
Inventor： Zichuan Liu , Wentian Zhao , Shitong Wang , He Qin , Yumin Jia , Yeojin Kim , Xin Lu , Jen-Chan Chien
IPC: G06T7/11
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate refined segmentation masks for digital visual media items. For example, in one or more embodiments, the disclosed systems utilize a segmentation refinement neural network to generate an initial segmentation mask for a digital visual media item. The disclosed systems further utilize the segmentation refinement neural network to generate one or more refined segmentation masks based on uncertainly classified pixels identified from the initial segmentation mask. To illustrate, in some implementations, the disclosed systems utilize the segmentation refinement neural network to redetermine whether a set of uncertain pixels corresponds to one or more objects depicted in the digital visual media item based on low-level (e.g., local) feature values extracted from feature maps generated for the digital visual media item.
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公开(公告)号：US20200175736A1
公开(公告)日：2020-06-04
申请号：US16205010
申请日：2018-11-29
Applicant: Adobe Inc.
Inventor： Yumin Jia , Xin Lu , Jen-Chan Chien
Abstract: Facial skin mask generated by a digital content creation system is described. The digital content creation system includes digital effects on skin in facial regions of digital content with efficiency and accuracy. Upon identifying a facial region within digital content, the system generates a first regional skin mask, a second regional skin mask, and combines both of the first and second regional skin masks to generate a facial skin mask indicative of skin of the identified facial regions depicted in digital content. The digital content creation system then modifies digital content by applying user selected digital effects to the skin of the facial region using the generated facial skin mask.
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