公开(公告)号：US11775158B2

公开(公告)日：2023-10-03

申请号：US17354520

申请日：2021-06-22

Applicant: Snap Inc.

Inventor： Theresa Barton ,  Yanping Chen ,  Jaewook Chung ,  Christopher Yale Crutchfield ,  Aymeric Damien ,  Sergei Kotcur ,  Igor Kudriashov ,  Sergey Tulyakov ,  Andrew Wan ,  Emre Yamangil

IPC: G06T7/11 ,  G06F3/04845 ,  G06F3/0482 ,  H04N5/265 ,  H04N5/262 ,  G06V20/40 ,  G06V40/16 ,  G06F3/04817

CPC classification number: G06F3/04845 ,  G06F3/0482 ,  G06T7/11 ,  G06V20/40 ,  G06V40/161 ,  H04N5/265 ,  H04N5/2628 ,  G06F3/04817 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30201

Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.

公开(公告)号：US10963748B1

公开(公告)日：2021-03-30

申请号：US16119956

申请日：2018-08-31

Applicant: Snap Inc.

Inventor： Sergey Tulyakov ,  Sergei Korolev ,  Aleksei Stoliar ,  Maksim Gusarov ,  Sergei Kotcur ,  Christopher Yale Crutchfield ,  Andrew Wan

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04

Abstract: A compact generative neural network can be distilled from a teacher generative neural network using a training network. The compact network can be trained on the input data and output data of the teacher network. The training network train the student network using a discrimination layer and one or more types of losses, such as perception loss and adversarial loss.

公开(公告)号：US20230334327A1

公开(公告)日：2023-10-19

申请号：US18213145

申请日：2023-06-22

Applicant: Snap Inc.

Inventor： Sergey Tulyakov ,  Sergei Korolev ,  Aleksei Stoliar ,  Maksim Gusarov ,  Sergei Kotcur ,  Christopher Yale Crutchfield ,  Andrew Wan

IPC: G06N3/088 ,  G06N3/08 ,  G06F18/21 ,  G06F18/214 ,  G06N3/045 ,  G06V10/764 ,  G06V10/774 ,  G06V10/778 ,  G06V10/82

CPC classification number: G06N3/088 ,  G06N3/08 ,  G06F18/2185 ,  G06F18/2148 ,  G06N3/045 ,  G06V10/764 ,  G06V10/7747 ,  G06V10/7788 ,  G06V10/82

Abstract: A compact generative neural network can be distilled from a teacher generative neural network using a training network. The compact network can be trained on the input data and output data of the teacher network. The training network train the student network using a discrimination layer and one or more types of losses, such as perception loss and adversarial loss.

公开(公告)号：US11727280B2

公开(公告)日：2023-08-15

申请号：US17189563

申请日：2021-03-02

Applicant: Snap Inc.

Inventor： Sergey Tulyakov ,  Sergei Korolev ,  Aleksei Stoliar ,  Maksim Gusarov ,  Sergei Kotcur ,  Christopher Yale Crutchfield ,  Andrew Wan

IPC: G06N3/088 ,  G06N3/08 ,  G06F18/21 ,  G06F18/214 ,  G06N3/045 ,  G06V10/764 ,  G06V10/774 ,  G06V10/778 ,  G06V10/82

CPC classification number: G06N3/088 ,  G06F18/2148 ,  G06F18/2185 ,  G06N3/045 ,  G06N3/08 ,  G06V10/764 ,  G06V10/7747 ,  G06V10/7788 ,  G06V10/82

Abstract: A compact generative neural network can be distilled from a teacher generative neural network using a training network. The compact network can be trained on the input data and output data of the teacher network. The training network train the student network using a discrimination layer and one or more types of losses, such as perception loss and adversarial loss.

公开(公告)号：US11068141B1

公开(公告)日：2021-07-20

申请号：US16265355

申请日：2019-02-01

Applicant: Snap Inc.

Inventor： Theresa Barton ,  Yanping Chen ,  Jaewook Chung ,  Christopher Yale Crutchfield ,  Aymeric Damien ,  Sergei Kotcur ,  Igor Kudriashov ,  Sergey Tulyakov ,  Andrew Wan ,  Emre Yamangil

IPC: G06F3/00 ,  G06F3/0484 ,  G06K9/00 ,  G06F3/0482 ,  G06T7/11 ,  H04N5/265 ,  H04N5/262 ,  G06F3/0481

Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.

公开(公告)号：US20250086466A1

公开(公告)日：2025-03-13

申请号：US18955297

申请日：2024-11-21

Applicant: Snap Inc.

Inventor： Sergey Tulyakov ,  Sergei Korolev ,  Aleksei Stoliar ,  Maksim Gusarov ,  Sergei Kotcur ,  Christopher Yale Crutchfield ,  Andrew Wan

IPC: G06N3/088 ,  G06F18/21 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06V10/764 ,  G06V10/774 ,  G06V10/778 ,  G06V10/82

Abstract: A compact generative neural network can be distilled from a teacher generative neural network using a training network. The compact network can be trained on the input data and output data of the teacher network. The training network train the student network using a discrimination layer and one or more types of losses, such as perception loss and adversarial loss.

公开(公告)号：US20250044912A1

公开(公告)日：2025-02-06

申请号：US18790543

申请日：2024-07-31

Applicant: Snap Inc.

Inventor： Shubham Chawla ,  Hyojung Chun ,  Anvi Dalal ,  Yunchu He ,  Hao Hu ,  Sarah Lensing ,  Yanjia Li ,  Ana Medinac ,  Bindi Patel ,  Patrick Poirson ,  Chiung-Fu Shih ,  Jeremy Staub ,  Kevin Dechau Tang ,  Ryan Tran ,  Andrew Wan ,  Cindy Wang ,  Alireza Zareian

IPC: G06F3/04817 ,  G06V10/764

Abstract: Systems and methods for object-based content recommendation are described. A camera feed comprising a plurality of image frames is caused to be displayed at a client device. An object is detected within an image frame from the camera feed, the object corresponding with an object category. Responsive to detecting the object, an icon associated with the object category is selected and displayed at a position upon the camera feed. The icon corresponds with a media collection related to the object category. An input is received selecting the icon. Responsive to the input, a presentation of media items from the media collection is displayed at the client device. By detecting real-world objects and surfacing relevant virtual icons that link to associated media, an augmented reality experience is provided allowing virtual content to be overlaid and anchored to objects in reality.

公开(公告)号：US12182722B2

公开(公告)日：2024-12-31

申请号：US18213145

申请日：2023-06-22

Applicant: Snap Inc.

Inventor： Sergey Tulyakov ,  Sergei Korolev ,  Aleksei Stoliar ,  Maksim Gusarov ,  Sergei Kotcur ,  Christopher Yale Crutchfield ,  Andrew Wan

IPC: G06N3/088 ,  G06F18/21 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06V10/764 ,  G06V10/774 ,  G06V10/778 ,  G06V10/82

Abstract: A compact generative neural network can be distilled from a teacher generative neural network using a training network. The compact network can be trained on the input data and output data of the teacher network. The training network train the student network using a discrimination layer and one or more types of losses, such as perception loss and adversarial loss.

公开(公告)号：US20230384918A1

公开(公告)日：2023-11-30

申请号：US18232146

申请日：2023-08-09

Applicant: Snap Inc.

Inventor： Theresa Barton ,  Yanping Chen ,  Jaewook Chung ,  Christopher Crutchfield ,  Aymeric Damien ,  Sergei Kotcur ,  Igor Kudriashov ,  Sergey Tulyakov ,  Andrew Wan ,  Emre Yamangil

IPC: G06F3/04845 ,  G06F3/0482 ,  G06T7/11 ,  H04N5/265 ,  H04N5/262 ,  G06V20/40 ,  G06V40/16

CPC classification number: G06F3/04845 ,  G06F3/0482 ,  G06T7/11 ,  H04N5/265 ,  H04N5/2628 ,  G06V20/40 ,  G06V40/161 ,  G06F3/04817

Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.

公开(公告)号：US20210311618A1

公开(公告)日：2021-10-07

申请号：US17354520

申请日：2021-06-22

Applicant: Snap Inc.

Inventor： Theresa Barton ,  Yanping Chen ,  Jaewook Chung ,  Christopher Yale Crutchfield ,  Aymeric Damien ,  Sergei Kotcur ,  Igor Kudriashov ,  Sergey Tulyakov ,  Andrew Wan ,  Emre Yamangil

IPC: G06F3/0484 ,  G06F3/0482 ,  H04N5/265 ,  G06K9/00 ,  G06T7/11 ,  H04N5/262

Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.