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公开(公告)号：US20240371111A1
公开(公告)日：2024-11-07
申请号：US18313042
申请日：2023-05-05
Applicant: Charter Communications Operating, LLC
Inventor： Dell Lawrence Wolfensparger , Viviane Espinoza McLandrich , Christopher Glen Turner , Yu Charlie Hu , Zhaoning Kong , Pranab Dash
Abstract: An offloading schedule for offloading image frames that are to be generated by an AR device in a subsequent time period is determined, the offloading schedule identifying certain image frames generated in the subsequent time period that are to be offloaded and certain image frames generated in the subsequent time period that are not to be offloaded, the offloading schedule being selected from a plurality of offloading schedules based on a tracking stride of the offloading schedule. The AR device sends to a computing device at least some of the image frames generated in the subsequent time period in accordance with the offloading schedule.
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公开(公告)号：US20240265609A1
公开(公告)日：2024-08-08
申请号：US18163719
申请日：2023-02-02
Applicant: Charter Communications Operating, LLC
IPC: G06T13/40 , H04L65/1069
CPC classification number: G06T13/40 , H04L65/1069
Abstract: A first computing device establishes a communication session with a second computing device. The first computing device receives a first motion capture data stream originating from the second computing device during the communication session, the first motion capture data stream quantifying real-time movements of a first user of the second computing device. The first computing device renders, to a display device, imagery of an animation of a three-dimensional (3D) model of the first user based on the first motion capture data stream that depicts the real-time movements of the first user.
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3.发明申请公开(公告)号：US20250124653A1
公开(公告)日：2025-04-17
申请号：US18487577
申请日：2023-10-16
Applicant: Charter Communications Operating, LLC
Inventor： Dell Lawrence Wolfensparger , Christopher Glen Turner , Hany A. Heikal
Abstract: Video data that depicts a face of a particular user is obtained. The video data is processed with a plurality of machine-learned models of a user-specific model ensemble for photorealistic facial representation to obtain a corresponding plurality of model outputs. The plurality of machine-learned models comprises one or more of a mesh representation model trained to generate a 3D polygonal mesh representation of the face of the particular user, a machine-learned texture representation model trained to generate a plurality of textures representative of the face of the particular user, or subsurface anatomical representation model(s) trained to generate sub-surface model outputs, each including a representation of a different sub-surface anatomy of the face of the particular user. At least one machine-learned model is optimized based on a loss function that evaluates the at least one model output.
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公开(公告)号：US20250124632A1
公开(公告)日：2025-04-17
申请号：US18487649
申请日：2023-10-16
Applicant: Charter Communications Operating, LLC
Inventor： Hany A. Heikal , Christopher Glen Turner , Dell Lawrence Wolfensparger
Abstract: Video data that depicts a facial motion of a face of a particular user of a computing device is obtained. A determination is made that a network performance metric for a network connection is less than a threshold network performance metric. Responsive to the determination, motion capture information is determined based on the video data. The motion capture information is indicative of the facial motion of the face of the particular user. The motion capture information is transmitted to the computing system. The motion capture information is for animation of a photorealistic three-dimensional representation of the face of the particular user.
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