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公开(公告)号：US11989345B1
公开(公告)日：2024-05-21
申请号：US18548439
申请日：2021-05-28
Applicant: Google LLC
Inventor： Gautam Prasad , Dmitry Lagun , Florian Schroff
CPC classification number: G06F3/013 , G06T7/70 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
Abstract: A method includes determining a measured eye gaze position of an eye of a user. The method also includes determining a first incremental change in the measured eye gaze position by processing the measured eye gaze position by a long short-term memory (LSTM) model, and determining a first predicted eye gaze position of the eye at a first future time based on the measured eye gaze position and the first incremental change. The method additionally includes determining a second incremental change in the first predicted eye gaze position by processing the first predicted eye gaze position by the LSTM model, and determining a second predicted eye gaze position of the eye at a second future time subsequent to the first future time based on the first predicted eye gaze position and the second incremental change.
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公开(公告)号：US20240143077A1
公开(公告)日：2024-05-02
申请号：US18548439
申请日：2021-05-28
Applicant: Google LLC
Inventor： Gautam Prasad , Dmitry Lagun , Florian Schroff
CPC classification number: G06F3/013 , G06T7/70 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
Abstract: A method includes determining a measured eye gaze position of an eye of a user. The method also includes determining a first incremental change in the measured eye gaze position by processing the measured eye gaze position by a long short-term memory (LSTM) model, and determining a first predicted eye gaze position of the eye at a first future time based on the measured eye gaze position and the first incremental change. The method additionally includes determining a second incremental change in the first predicted eye gaze position by processing the first predicted eye gaze position by the LSTM model, and determining a second predicted eye gaze position of the eye at a second future time subsequent to the first future time based on the first predicted eye gaze position and the second incremental change.
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3.发明申请公开(公告)号：US20240371081A1
公开(公告)日：2024-11-07
申请号：US18688278
申请日：2022-04-13
Applicant: Google LLC
Inventor： Mark Jeffrey Matthews , Daniel Jonathan Rebain , Dmitry Lagun , Andrea Tagliasacchi
IPC: G06T15/20 , G06T15/08 , G06V10/774 , G06V40/16
Abstract: Systems and methods for learning spaces of three-dimensional shape and appearance from datasets of single-view images can be utilized for generating view renderings of a variety of different objects and/or scenes. The systems and methods can be able to learn effectively from unstructured. “in-the-wild” data, without incurring the high cost of a full-image discriminator, and while avoiding problems such as mode-dropping that are inherent to adversarial methods.
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公开(公告)号：US10127680B2
公开(公告)日：2018-11-13
申请号：US15195942
申请日：2016-06-28
Applicant: GOOGLE LLC
Inventor： Dmitry Lagun , Vidhya Navalpakkam
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for gaze position prediction using neural networks. One of the systems includes a neural network comprising one or more neural network layers, wherein the neural network is configured to obtain a collection of input facial images of a user, wherein the collection of input facial images of the user comprises (i) a query image of the user, (ii) one or more calibration images of the user, and (iii) a respective calibration label that labels a known gaze position of the user for each of the one or more calibration images of the user; and process the received collection of input facial images of the user using the one or more neural network layers to generate a neural network output that characterizes a gaze position of the user in the query image.
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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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Patent Agency Ranking
公开(公告)号：US20240428500A1
公开(公告)日：2024-12-26
申请号：US18338060
申请日：2023-06-20
Applicant: Google LLC
Inventor： Tanmay Shah , Vishal Vinod , Dmitry Lagun
Abstract: Provided are systems and methods for creating 3D representations from one or more images of objects. It involves training a machine-learned correspondence network to convert 3D locations of pixels into a 2D canonical coordinate space. This network can map texture values from ground truth or synthetic images of the object into the 2D space, creating a texture data set. When a new synthetic image is generated from a specific pose, the 3D locations can be mapped into the 2D space, allowing texture values to be retrieved and applied to the new image. The system also enables users to edit the texture data, facilitating texture edits and transfers across objects.
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公开(公告)号：US20230274537A1
公开(公告)日：2023-08-31
申请号：US18094933
申请日：2023-01-09
Applicant: Google LLC
Inventor： Dmitry Lagun , Junfeng He , Pingmei Xu
IPC: G06V10/82 , G06T7/73 , G06T7/80 , G06F3/01 , G06V40/19 , G06F18/211 , G06F18/2413 , G06V10/764
CPC classification number: G06V10/82 , G06F3/013 , G06F18/211 , G06F18/24133 , G06T7/74 , G06T7/80 , G06V10/764 , G06V40/19 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201 , G06V40/161
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.
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公开(公告)号：US12254685B2
公开(公告)日：2025-03-18
申请号：US18094933
申请日：2023-01-09
Applicant: Google LLC
Inventor： Dmitry Lagun , Junfeng He , Pingmei Xu
IPC: G06V10/82 , G06F3/01 , G06F18/211 , G06F18/214 , G06F18/2413 , G06T7/73 , G06T7/80 , G06V10/764 , G06V40/16 , G06V40/19
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.
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公开(公告)号：US11551377B2
公开(公告)日：2023-01-10
申请号：US17102337
申请日：2020-11-23
Applicant: Google LLC
Inventor： Dmitry Lagun , Junfeng He , Pingmei Xu
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.
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公开(公告)号：US20210150759A1
公开(公告)日：2021-05-20
申请号：US17102337
申请日：2020-11-23
Applicant: Google LLC
Inventor： Dmitry Lagun , Junfeng He , Pingmei Xu
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.
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