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公开(公告)号：US12067680B2
公开(公告)日：2024-08-20
申请号：US17816813
申请日：2022-08-02
Applicant: ADOBE INC.
Inventor： Jimei Yang , Chun-han Yao , Duygu Ceylan Aksit , Yi Zhou
IPC: G06T17/20
CPC classification number: G06T17/20
Abstract: Systems and methods for mesh generation are described. One aspect of the systems and methods includes receiving an image depicting a visible portion of a body; generating an intermediate mesh representing the body based on the image; generating visibility features indicating whether parts of the body are visible based on the image; generating parameters for a morphable model of the body based on the intermediate mesh and the visibility features; and generating an output mesh representing the body based on the parameters for the morphable model, wherein the output mesh includes a non-visible portion of the body that is not depicted by the image.
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公开(公告)号：US12067046B2
公开(公告)日：2024-08-20
申请号：US17932742
申请日：2022-09-16
Applicant: ADOBE INC.
Inventor： Sachin Madhav Kelkar , Ajinkya Gorakhnath Kale , Alvin Ghouas , Baldo Antonio Faieta
IPC: G06F16/54 , G06V10/22 , G06V10/772
CPC classification number: G06F16/54 , G06V10/23 , G06V10/772
Abstract: Systems and methods for image exploration are provided. One aspect of the systems and methods includes identifying a set of images; reducing the set of images to obtain a representative set of images that is distributed throughout the set of images by removing a neighbor image based on a proximity of the neighbor image to an image of the representative set of images; arranging the representative set of images in a grid structure using a self-sorting map (SSM) algorithm; and displaying a portion of the representative set of images based on the grid structure.
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公开(公告)号：US20240273355A1
公开(公告)日：2024-08-15
申请号：US18168236
申请日：2023-02-13
Applicant: Adobe Inc.
Inventor： Nicholas J. BRYAN , Simon JENNI , John COLLOMOSSE , Christian James STEINMETZ
IPC: G06N3/08 , G06F16/632
CPC classification number: G06N3/08 , G06F16/632
Abstract: Embodiments are disclosed for identifying matching content using neural content fingerprints. The method may include receiving a request to identify content matching a query content item, wherein the query content item is a time varying content item, generating, by an embedding network, a neural fingerprint for the query content item, identifying one or more candidate content items based on the neural fingerprint of the query content item, determining, by a ranking network, one or more similarity scores corresponding to the one or more candidate content items, and identifying one or more matching content items based on the one or more similarity scores.
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公开(公告)号：US20240273279A1
公开(公告)日：2024-08-15
申请号：US18168187
申请日：2023-02-13
Applicant: Adobe Inc.
Inventor： Tianyuan CAI , Zoya BYLINSKII , Michael KRALEY , Aleena NIKLAUS
IPC: G06F40/106 , G06F3/04847 , G06V10/82 , G06V30/19
CPC classification number: G06F40/106 , G06F3/04847 , G06V10/82 , G06V30/19107 , G06V30/19147
Abstract: Techniques are disclosed for readability theme generation. The techniques include obtaining reading formats and generating reading format digital images based on the obtained reading formats. The reading format digital images are encoded using a trained machine learning model as perceptual embeddings. The perceptual embeddings are clustered into reading format clusters and readability themes are determined based on the reading format clusters.
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公开(公告)号：US20240265291A1
公开(公告)日：2024-08-08
申请号：US18104946
申请日：2023-02-02
Applicant: Adobe Inc.
Inventor： Charles Robert John Matthews , Thomas Stanley Dalton , Harinder Singh Sandhu , Adrian John O'Lenske
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: In implementations of systems for classifying incorporation metrics, a computing device implements a classification system to receive code data describing information associated with a set of new code defining new functionality for an application. The set of new code is to be incorporated into a set of existing code defining existing functionality of the application. The classification system processes the code data using a machine learning model trained on training data to generate classifications of incorporation metrics for sets of new code defining new functionalities to be incorporated into sets of existing code defining existing functionalities. A classification of an incorporation metric for the set of new code is output using the machine learning model based on processing the code data. The classification system generates an indication of the classification of the incorporation metric for the set of new code for display in a user interface.
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Patent Agency Ranking
公开(公告)号：US12056857B2
公开(公告)日：2024-08-06
申请号：US17520249
申请日：2021-11-05
Applicant: Adobe Inc.
Inventor： Yuqian Zhou , Connelly Barnes , Sohrab Amirghodsi , Elya Shechtman
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately generating inpainted digital images utilizing a guided inpainting model guided by both plane panoptic segmentation and plane grouping. For example, the disclosed systems utilize a guided inpainting model to fill holes of missing pixels of a digital image as informed or guided by an appearance guide and a geometric guide. Specifically, the disclosed systems generate an appearance guide utilizing plane panoptic segmentation and generate a geometric guide by grouping plane panoptic segments. In some embodiments, the disclosed systems generate a modified digital image by implementing an inpainting model guided by both the appearance guide (e.g., a plane panoptic segmentation map) and the geometric guide (e.g., a plane grouping map).
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127.发明公开公开(公告)号：US20240257421A1
公开(公告)日：2024-08-01
申请号：US18162401
申请日：2023-01-31
Applicant: Adobe Inc.
Inventor： Kevin Gary Smith
IPC: G06T11/60 , G06V10/764 , G06V10/82 , G06V10/86
CPC classification number: G06T11/60 , G06V10/764 , G06V10/82 , G06V10/86 , G06T2200/24
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate and implement behavioral policy graphs for digital image editing. For instance, in some embodiments, the disclosed systems generate, for a client device, a behavioral policy graph that assigns behaviors to object classes based on object relationships. The disclosed systems receive, from the client device, a digital image portraying a plurality of objects. Further, the disclosed systems determine behaviors of the plurality of objects utilizing the behavioral policy graph by determining, for each object of the plurality of objects, a behavior based on a relationship of the object with an additional object of the plurality of objects in accordance with the behavioral policy graph. The disclosed systems modify the digital image by modifying one or more objects based on the behaviors of the plurality of objects.
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公开(公告)号：US20240256589A1
公开(公告)日：2024-08-01
申请号：US18159726
申请日：2023-01-26
Applicant: ADOBE INC.
Inventor： Vibhor Porwal , Aaron Jerry Ninan , Adit Akarsh , Aryan Yadav , Nischay , Ramasuri Narayanam , Iftikhar Ahamath Burhanuddin
CPC classification number: G06F16/345 , G06F16/35 , G06F40/40
Abstract: Systems and methods for data narration are provided. One aspect of the systems and methods includes obtaining a dataset including a plurality of data elements, wherein each of the data elements includes a plurality of attributes; clustering the plurality of data elements to obtain a plurality of data segments; extracting a plurality of facts from the dataset based on the plurality of data segments; generating a graph including a plurality of nodes corresponding to the plurality of facts, respectively; computing an ordering of the plurality of facts based on the graph; and generating a description of the dataset based on the ordering of the plurality of facts.
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公开(公告)号：US12050647B2
公开(公告)日：2024-07-30
申请号：US17877469
申请日：2022-07-29
Applicant: Adobe Inc.
Inventor： Somdeb Sarkhel , Xiang Chen , Viswanathan Swaminathan , Swapneel Mehta , Saayan Mitra , Ryan Rossi , Han Guo , Ali Aminian , Kshitiz Garg
IPC: G06F16/90 , G06F16/901 , G06N3/045 , G06Q50/00
CPC classification number: G06F16/9024 , G06N3/045 , G06Q50/01
Abstract: Techniques for recommending hashtags, including trending hashtags, are disclosed. An example method includes accessing a graph. The graph includes video nodes representing videos, historical hashtag nodes representing historical hashtags, and edges indicating associations among the video nodes and the historical hashtag nodes. A trending hashtag is identified. An edge is added to the graph between a historical hashtag node representing a historical hashtag and a trending hashtag node representing the trending hashtag, based on a semantic similarity between the historical hashtag and the trending hashtag. A new video node representing a new video is added to the video nodes of the graph. A graph neural network (GNN) is applied to the graph, and the GNN predicts a new edge between the trending hashtag node and the new video node. The trending hashtag is recommended for the new video based on prediction of the new edge.
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公开(公告)号：US20240244287A1
公开(公告)日：2024-07-18
申请号：US18154412
申请日：2023-01-13
Applicant: Adobe Inc.
Inventor： Kim Pascal PIMMEL , Stephen Joseph DIVERDI , Jiaju MA , Rubaiat HABIB , Li-Yi WEI , Hijung SHIN , Deepali ANEJA , John G. NELSON , Wilmot LI , Dingzeyu LI , Lubomira Assenova DONTCHEVA , Joel Richard BRANDT
IPC: H04N21/431 , G06F3/04812 , G06F3/0482 , H04N21/4402
CPC classification number: H04N21/4312 , G06F3/04812 , G06F3/0482 , H04N21/440236
Abstract: Embodiments of the present disclosure provide, a method, a system, and a computer storage media that provide mechanisms for multimedia effect addition and editing support for text-based video editing tools. The method includes generating a user interface (UI) displaying a transcript of an audio track of a video and receiving, via the UI, input identifying selection of a text segment from the transcript. The method also includes in response to receiving, via the UI, input identifying selection of a particular type of text stylization or layout for application to the text segment. The method further includes identifying a video effect corresponding to the particular type of text stylization or layout, applying the video effect to a video segment corresponding to the text segment, and applying the particular type of text stylization or layout to the text segment to visually represent the video effect in the transcript.
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