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Patent Agency Ranking
公开(公告)号：US20240290025A1
公开(公告)日：2024-08-29
申请号：US18588948
申请日：2024-02-27
Applicant: GOOGLE LLC
Inventor： Yinda Zhang , Sean Ryan Francesco Fanello , Ziqian Bai , Feitong Tan , Zeng Huang , Kripasindhu Sarkar , Danhang Tang , Di Qiu , Abhimitra Meka , Ruofei Du , Mingsong Dou , Sergio Orts Escolano , Rohit Kumar Pandey , Thabo Beeler
CPC classification number: G06T13/40 , G06T7/90 , G06T17/20 , G06V10/44 , G06T2207/10024 , G06T2207/20084
Abstract: A method comprises receiving a first sequence of images of a portion of a user, the first sequence of images being monocular images; generating an avatar based on the first sequence of images, the avatar being based on a model including a feature vector associated with a vertex; receiving a second sequence of images of the portion of the user; and based on the second sequence of images, modifying the avatar with a displacement of the vertex to represent a gesture of the avatar.
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2.发明公开公开(公告)号：US20240029333A1
公开(公告)日：2024-01-25
申请号：US18355154
申请日：2023-07-19
Applicant: GOOGLE LLC
Inventor： Abhimitra Meka , Thabo Beeler , Franziska Müller , Gengyan Li , Marcel Bühler , Otmar Hilliges
CPC classification number: G06T13/40 , G06T17/20 , G06T15/50 , G06T2210/62 , G06T2210/44
Abstract: A method including selecting a first point from a 3D model representing an avatar, the first point being associated with an eye, selecting a second point from the 3D model, the second point being associated with a periocular region associated with the eye, generating an albedo and spherical harmonics (SH) coefficients based on the first point and the second point, and generating an image point based on the albedo, and the SH coefficients.
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公开(公告)号：US20250111477A1
公开(公告)日：2025-04-03
申请号：US18477219
申请日：2023-09-28
Applicant: GOOGLE LLC
Inventor： Sergio Orts Escolano , Zhiwen Fan , Di Qiu , Yinda Zhang , Daoye Wang , Erroll Wood , Abhimitra Meka , Hossam Isack , Paulo Fabiano Urnau Gotardo , Kripasindhu Sarkar , Thabo Beeler , Zhengyang Shen , Alexander Sahba Koumis
Abstract: A method including capturing a first plurality of images that include a foreground object and a background, capturing a second plurality of images that include the background, generating an alpha matte based on the first plurality of images and the second plurality of images using a trained machine learned model trained using a loss function configured to cause the trained machine learned model to learn high-frequency details of the foreground object, generating a foreground object image based on the first plurality of images and the second plurality of images using the trained machine learned model, and synthesizing an image including the foreground object image and a second background scene using the alpha matte.
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公开(公告)号：US20250078397A1
公开(公告)日：2025-03-06
申请号：US18823613
申请日：2024-09-03
Applicant: Google LLC
Inventor： Abhimitra Meka , Marcel Bühler , Kripasindhu Sarkar , Tanmay Shah , Gengyan Li , Daoye Wang , Leonhard Helminger , Sergio Orts Escolano , Dmitry Lagun , Thabo Beeler
Abstract: A method including determining a viewpoint, generating a first image using an image generator, the first image including an object in a first orientation based on the viewpoint, modifying the image generator based on a second orientation of the object, and generating a second image based on the first image using the modified image generator.
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公开(公告)号：US20250124634A1
公开(公告)日：2025-04-17
申请号：US18917512
申请日：2024-10-16
Applicant: GOOGLE LLC
Inventor： Thabo Beeler , Jan Bednarík , Bardia Doosti , Bernd Bickel , Danhang Tang , Jonathan James Taylor , Soshi Shimada , Franziska Müller
Abstract: A method includes determining a trajectory of an object based on a mass of the object, and determining a motion of a hand based on the mass of the object and the trajectory of the object. The method can further include generating an animation of the hand interacting with the object based on the trajectory of the object and the motion of the hand.
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