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11.发明授权公开(公告)号：US12278764B2
公开(公告)日：2025-04-15
申请号：US17518870
申请日：2021-11-04
Applicant: Adobe Inc.
Inventor： Thomas Kiencke , Arne Franken
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for flexibly and efficiently managing network traffic for a web flow utilizing network access tokens. For example, the disclosed systems facilitate smooth, uninterrupted navigation through various webpages of a web flow (e.g., from an entry point to an exit point) by assigning network access tokens to client devices according to network capacity of servers hosting the web flow. In some embodiments, the disclosed systems permit access to, and navigation within various webpages within, the web flow for the client devices with network access tokens while preventing other client devices from accessing the web flow.
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公开(公告)号：US12277767B2
公开(公告)日：2025-04-15
申请号：US17804656
申请日：2022-05-31
Applicant: ADOBE INC.
Inventor： Hailin Jin , Jielin Qiu , Zhaowen Wang , Trung Huu Bui , Franck Dernoncourt
IPC: G06V20/00 , G06F16/34 , G06F16/683 , G06V10/774 , G06V20/40
Abstract: Systems and methods for video segmentation and summarization are described. Embodiments of the present disclosure receive a video and a transcript of the video; generate visual features representing frames of the video using an image encoder; generate language features representing the transcript using a text encoder, wherein the image encoder and the text encoder are trained based on a correlation between training visual features and training language features; and segment the video into a plurality of video segments based on the visual features and the language features.
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公开(公告)号：US20250119624A1
公开(公告)日：2025-04-10
申请号：US18894443
申请日：2024-09-24
Applicant: ADOBE INC.
Inventor： Seoung Wug Oh , Mingi Kwon , Joon-Young Lee , Yang Zhou , Difan Liu , Haoran Cai , Baqiao Liu , Feng Liu
IPC: H04N21/81
Abstract: A method, apparatus, non-transitory computer readable medium, and system for generating synthetic videos includes obtaining an input prompt describing a video scene. The embodiments then generate a plurality of frame-wise token embeddings corresponding to a sequence of video frames, respectively, based on the input prompt. Subsequently, embodiments generate, using a video generation model, a synthesized video depicting the video scene. The synthesized includes a plurality of images corresponding to the sequence of video frames.
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公开(公告)号：US20250117994A1
公开(公告)日：2025-04-10
申请号：US18426758
申请日：2024-01-30
Applicant: Adobe Inc.
Inventor： Eric Randall Kee , Adam Ahmed Pikielny , Marc Stewart Levoy
Abstract: In implementation of techniques for removing image overlays, a computing device implements a reflection removal system to receive an input RAW digital image, the input RAW digital image including both a base image and an overlay image. Using a machine learning model, the reflection removal system segments the base image from the overlay image. The reflection removal system generates an output RAW digital image that includes the base image and displays the output RAW digital image in a user interface.
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公开(公告)号：US20250117989A1
公开(公告)日：2025-04-10
申请号：US18483919
申请日：2023-10-10
Applicant: Adobe Inc.
Inventor： Gagan Singhal , Shikhar Tayal , Nilesh Mishra
Abstract: An example vector path trajectory imitation system is configured to create a new vector path or to extend an existing vector path based on a reference. In this manner, a user (e.g., artist, illustrator, or designer) does not need to tweak individual anchor points to align a trajectory of the new vector path with the trajectory of the reference. Instead, the user moves a position indicator (e.g., a mouse cursor) on a digital canvas in a freehand fashion while the vector path trajectory imitation system provides visual feedback to show the user how a resultant curve will look. When the user reaches a position on the digital canvas where a new vector path is to be drawn, the user can perform an action (e.g., releasing a mouse button) and the new vector path, which follows the trajectory of the reference, is created.
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Patent Agency Ranking
公开(公告)号：US20250117968A1
公开(公告)日：2025-04-10
申请号：US18481308
申请日：2023-10-05
Applicant: ADOBE INC.
Inventor： Tobias Hinz , Siddharth Iyer
Abstract: Methods, non-transitory computer readable media, apparatuses, and systems for high-resolution image generation using diffusion models include obtaining a prompt and generating, using a first diffusion model, a predicted denoised image at a first resolution based on the prompt. The predicted denoised image is generated at a first intermediate diffusion step of the first diffusion model. The predicted denoised image is upsampled to obtain an upsampled denoised image at a second resolution that is higher than the first resolution. A second diffusion model then generates an output image at the second resolution based on the prompt and the upsampled denoised image.
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公开(公告)号：US12272127B2
公开(公告)日：2025-04-08
申请号：US17589114
申请日：2022-01-31
Applicant: Adobe Inc.
Inventor： Jason Wen Yong Kuen , Su Chen , Scott Cohen , Zhe Lin , Zijun Wei , Jianming Zhang
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates object masks for digital objects portrayed in digital images utilizing a detection-masking neural network pipeline. In particular, in one or more embodiments, the disclosed systems utilize detection heads of a neural network to detect digital objects portrayed within a digital image. In some cases, each detection head is associated with one or more digital object classes that are not associated with the other detection heads. Further, in some cases, the detection heads implement multi-scale synchronized batch normalization to normalize feature maps across various feature levels. The disclosed systems further utilize a masking head of the neural network to generate one or more object masks for the detected digital objects. In some cases, the disclosed systems utilize post-processing techniques to filter out low-quality masks.
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公开(公告)号：US12271804B2
公开(公告)日：2025-04-08
申请号：US17870496
申请日：2022-07-21
Applicant: Adobe Inc.
Inventor： Mang Tik Chiu , Connelly Barnes , Zijun Wei , Zhe Lin , Yuqian Zhou , Xuaner Zhang , Sohrab Amirghodsi , Florian Kainz , Elya Shechtman
Abstract: Embodiments are disclosed for performing wire segmentation of images using machine learning. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input image, generating, by a first trained neural network model, a global probability map representation of the input image indicating a probability value of each pixel including a representation of wires, and identifying regions of the input image indicated as including the representation of wires. The disclosed systems and methods further comprise, for each region from the identified regions, concatenating the region and information from the global probability map to create a concatenated input, and generating, by a second trained neural network model, a local probability map representation of the region based on the concatenated input, indicating pixels of the region including representations of wires. The disclosed systems and methods further comprise aggregating local probability maps for each region.
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公开(公告)号：US20250111695A1
公开(公告)日：2025-04-03
申请号：US18543234
申请日：2023-12-18
Applicant: Adobe Inc.
Inventor： Wilmot Wei-Mau Li , Li-Yi Wei , Cuong D. Nguyen , Jakub Fiser , Hijung Shin , Stephen Joseph DiVerdi , Seth John Walker , Kazi Rubaiat Habib , Deepali Aneja , David Gilliaert Werner , Erica K. Schisler
Abstract: In implementation of techniques for template-based behaviors in machine learning, a computing device implements a template system to receive a digital video and data executable to generate animated content. The template system determines a location within a frame of the digital video to place the animated content using a machine learning model. The template system then renders the animated content within the frame of the digital video at the location determined by the machine learning model. The template system then displays the rendered animated content within the frame of the digital video in a user interface.
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公开(公告)号：US20250111566A1
公开(公告)日：2025-04-03
申请号：US18479439
申请日：2023-10-02
Applicant: Adobe Inc.
Inventor： Vivek Agrawal , Tarun Beri
Abstract: In implementations of systems and procedures for generating surrogate curvatures for assisted vector drawings, a computing device implements acquisition of a target vector curve and compares a curvature of the target vector curve to a curvature of a reference vector curve. The computing device determines whether the curvature of the target vector curve is within a threshold tolerance of the curvature of the reference vector curve. An edited curvature of the targeted vector curve is generated based on the curvature of the reference vector curve.
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