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公开(公告)号：US20240362790A1
公开(公告)日：2024-10-31
申请号：US18768482
申请日：2024-07-10
申请人： Adobe Inc.
发明人： Angad Kumar Gupta , Gagan Singhal
CPC分类号： G06T7/11 , G06T7/254 , G06T7/90 , G06T11/60 , G06T2207/10024 , G06T2207/20084
摘要： The present disclosure describes systems, non-transitory computer-readable media, and methods for detecting and indicating modifications between a digital image and a modified version of a digital image. For example, the disclosed systems generates an ordered collection of change records in response to detecting modifications to the digital image. The disclosed systems generates determine one or more non-contiguous modified regions of pixels in the digital image based on the change records. The disclosed system generate an edited region indicator corresponding to the non-contiguous modified regions. The disclosed systems can further color-code the edited region indicator at an object level based on objects in the modified version of the digital image.
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2.发明公开公开(公告)号：US20240361891A1
公开(公告)日：2024-10-31
申请号：US18311705
申请日：2023-05-03
申请人： Adobe Inc.
发明人： Archie Bagnall
IPC分类号： G06F3/04845 , G06T3/40 , G06T11/60
CPC分类号： G06F3/04845 , G06T3/40 , G06T11/60 , G06F3/04842 , G06F2203/04803 , G06F2203/04806 , G06T2200/24
摘要： 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.
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公开(公告)号：US12131421B2
公开(公告)日：2024-10-29
申请号：US18083796
申请日：2022-12-19
申请人： Adobe Inc.
CPC分类号： G06T15/08 , G06T15/50 , G06T19/00 , G06T2210/22 , G06T2219/004
摘要： A method for generating a volume for three-dimensional rendering extracts a plurality of images from a source image input, normalizes the extracted images to have a common pixel size, and determines a notional camera placement for each normalized image to obtain a plurality of annotated normalized images, each annotated with a respective point of view through the view frustum of the notional camera. From the annotated normalized images, the method generates a first volume encompassing a first three-dimensional representation of the target object and selects a smaller subspace within the first volume that encompasses the first three-dimensional representation of the target object. The method generates, from the annotated normalized images, a second volume overlapping the first volume, encompassing a second three-dimensional representation of the target object and having a plurality of voxels, and crops the second volume to limit the second volume to the subspace.
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公开(公告)号：US12130841B2
公开(公告)日：2024-10-29
申请号：US16933361
申请日：2020-07-20
申请人： Adobe Inc.
发明人： Karan Aggarwal , Georgios Theocharous , Anup Rao
IPC分类号： G06F16/28 , G05B23/02 , G06F16/35 , G06F16/45 , G06F18/23213 , G06N3/02 , G06N3/044 , G06N3/0442 , G06N3/08 , G06V30/19 , G06F9/54 , G06N3/043 , G06N7/04
CPC分类号： G06F16/285 , G05B23/0281 , G06F16/35 , G06F16/45 , G06F18/23213 , G06N3/02 , G06N3/044 , G06N3/0442 , G06N3/08 , G06V30/19107 , G06F9/542 , G06N3/043 , G06N7/046
摘要： A single unified machine learning model (e.g., a neural network) is trained to perform both supervised event predictions and unsupervised time-varying clustering for a sequence of events (e.g., a sequence representing a user behavior) using sequences of events for multiple users using a combined loss function. The unified model can then be used for, given a sequence of events as input, predict a next event to occur after the last event in the sequence and generate a clustering result by performing a clustering operation on the sequence of events. As part of predicting the next event, the unified model is trained to predict an event type for the next event and a time of occurrence for the next event. In certain embodiments, the unified model is a neural network comprising a recurrent neural network (RNN) such as an Long Short Term Memory (LSTM) network.
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公开(公告)号：US20240354994A1
公开(公告)日：2024-10-24
申请号：US18303918
申请日：2023-04-20
申请人： Adobe Inc.
发明人： Jose Ignacio Echevarria Vallespi , Michelle Mee-June Lee , Jacob Benjamin Hanson-regalado , Irgelkha Mejia
IPC分类号： G06T7/90 , G06Q30/0601 , G06T7/10
CPC分类号： G06T7/90 , G06Q30/0631 , G06Q30/0643 , G06T7/10 , G06T2200/24 , G06T2207/10024 , G06T2207/20021 , G06T2207/30196
摘要： In implementation of automated colorimetry techniques supporting color classification, a computing device implements a color coordination system to receive a digital image depicting a person. The color coordination system then identifies a color classification for the person based on the digital image, the color classification associated with a color recommendation that is represented as a color distribution. The color coordination system identifies an item associated with a color of the color recommendation by identifying a point of the color distribution associated with a color of the item that is within a threshold distance from a point associated with the color of the color recommendation. Then, the color coordination system displays a recommendation that includes the item in a user interface.
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公开(公告)号：US12125227B2
公开(公告)日：2024-10-22
申请号：US17656605
申请日：2022-03-25
申请人： Adobe Inc.
发明人： Jianming Zhang
摘要： The present disclosure relates to systems, non-transitory computer-readable media, and methods for training and/or implementing machine learning models utilizing compressed log scene measurement maps. For example, the disclosed system generates compressed log scene measurement maps by converting scene measurement maps to compressed log scene measurement maps by applying a logarithmic function. In particular, the disclosed system uses scene measurement distribution metrics from a digital image to determine a base for the logarithmic function. In this way, the compressed log scene measurement maps normalize ranges within a digital image and accurately differentiates between scene elements objects at a variety of depths. Moreover, for training, the disclosed system generates a predicted scene measurement map via a machine learning model and compares the predicted scene measurement map with a compressed log ground truth map. By doing so, the disclosed system trains the machine learning model to generate accurate compressed log depth maps.
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公开(公告)号：US12125148B2
公开(公告)日：2024-10-22
申请号：US17664972
申请日：2022-05-25
申请人： ADOBE INC.
发明人： Chang Xiao , Ryan A. Rossi , Eunyee Koh
CPC分类号： G06T19/006 , G06T7/73 , G06T7/97 , G06T2207/20224 , G06T2207/30204
摘要： A system and methods for providing human-invisible AR markers is described. One aspect of the system and methods includes identifying AR metadata associated with an object in an image; generating AR marker image data based on the AR metadata; generating a first variant of the image by adding the AR marker image data to the image; generating a second variant of the image by subtracting the AR marker image data from the image; and displaying the first variant and the second variant of the image alternately at a display frequency to produce a display of the image, wherein the AR marker image data is invisible to a human vision system in the display of the image.
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公开(公告)号：US12125128B2
公开(公告)日：2024-10-22
申请号：US17363356
申请日：2021-06-30
申请人： Adobe Inc.
发明人： Arushi Jain , Praveen Kumar Dhanuka , Gaurav Jain
IPC分类号： G06K9/00 , G06F3/04842 , G06F3/04845 , G06T7/13 , G06T11/20 , G06V20/62
CPC分类号： G06T11/203 , G06F3/04842 , G06F3/04845 , G06T7/13 , G06V20/62
摘要： In implementations for free form radius editing, a computing device implements a radius editing system, such as may be integrated with an image editing application. The radius editing system can determine the edge segments for outlines of image objects depicted in a digital image, where the edge segments include corner segments of the image objects. The radius editing system can also determine the radius values of the corner segments of the image objects, and the radius values of the corner segments are maintained in a cache as part of object data corresponding to the image objects depicted in the digital image. The radius editing system can also identify one or more similar corner segments of the image objects that have an equivalent radius value as a selected corner segment responsive to an editing input of a radius of the selected corner segment of an image object.
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公开(公告)号：US12124683B1
公开(公告)日：2024-10-22
申请号：US18409638
申请日：2024-01-10
申请人： Adobe Inc.
发明人： Yaman Kumar , Somesh Singh , William Brandon George , Timothy Chia-chi Liu , Suman Basetty , Pranjal Prasoon , Nikaash Puri , Mihir Naware , Mihai Corlan , Joshua Marshall Butikofer , Abhinav Chauhan , Kumar Mrityunjay Singh , James Patrick O'Reilly , Hyman Chung , Lauren Dest , Clinton Hansen Goudie-Nice , Brandon John Pack , Balaji Krishnamurthy , Kunal Kumar Jain , Alexander Klimetschek , Matthew William Rozen
IPC分类号： G06F3/0484 , G06F3/0482 , G06F18/2415 , G06F40/151 , G06F40/166 , G06T11/20 , G06V10/40 , G06V10/764
CPC分类号： G06F3/0484 , G06F3/0482 , G06F18/2415 , G06F40/151 , G06F40/166 , G06T11/206 , G06V10/40 , G06V10/764 , G06T2200/24
摘要： Content creation techniques are described that leverage content analytics to provide insight and guidance as part of content creation. To do so, content features are extracted by a content analytics system from a plurality of content and used by the content analytics system as a basis to generate a content dataset. Event data is also collected by the content analytics system from an event data source. Event data describes user interaction with respective items of content, including subsequent activities in both online and physical environments. The event data is then used to generate an event dataset. An analytics user interface is then generated by the content analytics system using the content dataset and the event dataset and is usable to guide subsequent content creation and editing.
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公开(公告)号：US12124439B2
公开(公告)日：2024-10-22
申请号：US17513127
申请日：2021-10-28
申请人： Adobe Inc.
发明人： Handong Zhao , Zhe Lin , Zhaowen Wang , Zhankui He , Ajinkya Gorakhnath Kale
IPC分类号： G06F16/245 , G06F16/248 , G06N20/00
CPC分类号： G06F16/245 , G06F16/248 , G06N20/00
摘要： Digital content search techniques are described that overcome the challenges found in conventional sequence-based techniques through use of a query-aware sequential search. In one example, a search query is received and sequence input data is obtained based on the search query. The sequence input data describes a sequence of digital content and respective search queries. Embedding data is generated based on the sequence input data using an embedding module of a machine-learning model. The embedding module includes a query-aware embedding layer that generates embeddings of the sequence of digital content and respective search queries. A search result is generated referencing at least one item of digital content by processing the embedding data using at least one layer of the machine-learning model.
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