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公开(公告)号：US12229604B2
公开(公告)日：2025-02-18
申请号：US17573221
申请日：2022-01-11
Applicant: Adobe Inc.
Inventor： Subrata Mitra , Pradeep Dogga
Abstract: Shared resource interference detection techniques are described. In an example, a resource detection module supports techniques to quantify levels of interference through use of working set sizes. The resource detection module selects working set sizes. The resource detection module then initiates execution of code that utilizes the shared resource based on the first working set size. The resource detection module detects a resource consumption amount based on the execution of the code. The resource detection module then determines whether the detected resource consumption amount corresponds to the defined resource consumption amount for the selected working set size.
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公开(公告)号：US12229552B2
公开(公告)日：2025-02-18
申请号：US18186458
申请日：2023-03-20
Applicant: Adobe Inc.
Inventor： Charles Robert John Matthews , Thomas Stanley Dalton , Harinder Singh Sandhu , David Alexander Collie , Adrian John O'Lenskie
Abstract: In implementations of systems for generating review likelihoods for sets of code, a computing device implements a review system to compile input data based on code data describing information associated with a set of new code to be incorporated into a set of existing code and reviewer data describing information associated with a potential reviewer of sets of code. The review system processes the input data using a machine learning model trained on training data to generate review likelihoods for potential reviewers of sets of code to be selected to review sets of new code. A review likelihood for the potential reviewer of sets of code to be selected to review the set of new code is generated using the machine learning model based on processing the input data. The review system generates an indication of the review likelihood for display in a user interface.
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公开(公告)号：US12229399B2
公开(公告)日：2025-02-18
申请号：US18420444
申请日：2024-01-23
Applicant: Adobe Inc.
Inventor： Christopher Alan Tensmeyer , Rajiv Jain , Curtis Michael Wigington , Brian Lynn Price , Brian Lafayette Davis
IPC: G06F3/048 , G06F3/04883 , G06N3/045 , G06N3/08 , G06V10/44 , G06V10/82 , G06V30/226 , G06V30/228 , G06V30/32
Abstract: Techniques are provided for generating a digital image of simulated handwriting using an encoder-decoder neural network trained on images of natural handwriting samples. The simulated handwriting image can be generated based on a style of a handwriting sample and a variable length coded text input. The style represents visually distinctive characteristics of the handwriting sample, such as the shape, size, slope, and spacing of the letters, characters, or other markings in the handwriting sample. The resulting simulated handwriting image can include the text input rendered in the style of the handwriting sample. The distinctive visual appearance of the letters or words in the simulated handwriting image mimics the visual appearance of the letters or words in the handwriting sample image, whether the letters or words in the simulated handwriting image are the same as in the handwriting sample image or different from those in the handwriting sample image.
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公开(公告)号：US20250053693A1
公开(公告)日：2025-02-13
申请号：US18538834
申请日：2023-12-13
Applicant: Adobe Inc.
Inventor： Weizhi Yang
IPC: G06F30/12
Abstract: Grid structure control techniques and systems are described that support use of a flexible grid structure and layout control. In an implementation, a grid factor graph is presented for display in a user interface. The grid factor graph is based on grid variables and grid factors. The grid factors define constrained relationships of the grid variables to each other. An edit to the constraint-based grid or a grid item of the constraint-based grid is received via the user interface. The grid factor is updated graph based on the edit. The constraint-based grid and the grid item are presented for display in the user interface by resolving the updated grid factor graph.
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公开(公告)号：US12223623B2
公开(公告)日：2025-02-11
申请号：US18053027
申请日：2022-11-07
Applicant: Adobe Inc.
Inventor： He Zhang , Hyun Joon Jung
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that implement a multi-branch harmonization neural network architecture to harmonize composite images. For example, in one or more implementations, the semantic-guided transformer-based harmonization system uses a convolutional branch, a transformer branch, and a semantic branch to generate a harmonized composite image based on an input composite image and a corresponding segmentation mask. More particularly, the convolutional branch comprises a series of convolutional neural network layers followed by a style normalization layer to extract localized information from the input composite image. Further, the transformer branch comprises a series of transformer neural network layers to extract global information based on different resolutions of the input composite image. The semantic branch includes a visual neural network that generates semantic features that inform the harmonization of the composite images.
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Patent Agency Ranking
公开(公告)号：US12223253B2
公开(公告)日：2025-02-11
申请号：US17984143
申请日：2022-11-09
Applicant: Adobe Inc.
Inventor： Rishav Agarwal , Vidisha Rama Hegde , Vasu Gupta , Sanyam Jain
IPC: G06F17/00 , G06F40/103
Abstract: Embodiments are disclosed for real-time copyfitting using a shape of a content area and input text. A content area and an input text for performing copyfitting using a trained classifier is received. A number of remaining characters in the content area is computed in real-time using the input, the computing performed in response to receiving additional input text, wherein computing, in real-time, the number of remaining characters in the content area using the input text includes generating, by the trained classifier, a set of weights including a first set of one or more weights for the input text and a second set of one or more weights for the content area. The first set of one or more weights, the second set of one or more weights, the input text, and the additional input text, and a copyfitting parameter indicating a number of additional characters to be fitted into the content area are determined based on the content area. The copyfitting parameter and the number of remaining characters are presented in real-time.
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47.发明申请公开(公告)号：US20250045986A1
公开(公告)日：2025-02-06
申请号：US18365041
申请日：2023-08-03
Applicant: Adobe Inc.
Inventor： Tudor MUSCALU , Shashidhar MANGU , Piyush VASHISHT , Mrinalini SARDAR
Abstract: Aspects of the technology described herein provide for a more precise generation of folded joints for objects rendered on a digital canvas. In an embodiment, segment points are received at the canvas from a user. From the segment points, structure points corresponding to vertices of the folded joint are identified. The structure points are connected to other identified structure points. The result is an object with a folded appearance, where the connections amongst the structure points form at least a portion of the object's perimeter.
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公开(公告)号：US20250045641A1
公开(公告)日：2025-02-06
申请号：US18229593
申请日：2023-08-02
Applicant: Adobe Inc.
Inventor： Kanak MAHADIK , Jashwant Raj GUNASEKARAN , Haoliang WANG , Vani NAGARAJAN
IPC: G06N20/20
Abstract: In various examples, a prediction machine learning model determines a set of computing instances capable of executing a machine learning model and a set of batch sizes associated with inferencing requests based on a set of model parameters associated with the machine learning model and a number of floating point operations (FLOPS). In such examples this information is used to update a user interface to indicate computing instances to perform inferencing operations.
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公开(公告)号：US12217742B2
公开(公告)日：2025-02-04
申请号：US17534221
申请日：2021-11-23
Applicant: Adobe Inc. , The Trustees of Princeton University
Inventor： Zeyu Jin , Jiaqi Su , Adam Finkelstein
Abstract: Embodiments are disclosed for generating full-band audio from narrowband audio using a GAN-based audio super resolution model. A method of generating full-band audio may include receiving narrow-band input audio data, upsampling the narrow-band input audio data to generate upsampled audio data, providing the upsampled audio data to an audio super resolution model, the audio super resolution model trained to perform bandwidth expansion from narrow-band to wide-band, and returning wide-band output audio data corresponding to the narrow-band input audio data.
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公开(公告)号：US12217395B2
公开(公告)日：2025-02-04
申请号：US17660968
申请日：2022-04-27
Applicant: ADOBE INC.
Inventor： Sangryul Jeon , Zhifei Zhang , Zhe Lin , Scott Cohen , Zhihong Ding
Abstract: Systems and methods for image processing are configured. Embodiments of the present disclosure encode a content image and a style image using a machine learning model to obtain content features and style features, wherein the content image includes a first object having a first appearance attribute and the style image includes a second object having a second appearance attribute; align the content features and the style features to obtain a sparse correspondence map that indicates a correspondence between a sparse set of pixels of the content image and corresponding pixels of the style image; and generate a hybrid image based on the sparse correspondence map, wherein the hybrid image depicts the first object having the second appearance attribute.
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