公开(公告)号：US12075190B2

公开(公告)日：2024-08-27

申请号：US18221702

申请日：2023-07-13

Applicant: Snap Inc.

Inventor： Lidiia Bogdanovych ,  William Brendel ,  Samuel Edward Hare ,  Fedir Poliakov ,  Guohui Wang ,  Xuehan Xiong ,  Jianchao Yang ,  Linjie Yang

IPC: G06T7/11 ,  G06F18/214 ,  G06F18/24 ,  G06N3/04 ,  G06N3/08 ,  G06T7/194 ,  G06V10/82 ,  G06V30/19 ,  G06V30/242 ,  H04N7/14 ,  H04N5/445 ,  H04N5/76

CPC classification number: H04N7/147 ,  G06F18/214 ,  G06F18/24765 ,  G06N3/04 ,  G06N3/08 ,  G06T7/11 ,  G06T7/194 ,  G06V10/82 ,  G06V30/19173 ,  G06V30/242 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/30201 ,  H04N5/44504 ,  H04N5/76 ,  H04N7/141

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

公开(公告)号：US11743426B2

公开(公告)日：2023-08-29

申请号：US16992968

申请日：2020-08-13

Applicant: Snap Inc.

Inventor： Lidiia Bogdanovych ,  William Brendel ,  Samuel Edward Hare ,  Fedir Poliakov ,  Guohui Wang ,  Xuehan Xiong ,  Jianchao Yang ,  Linjie Yang

IPC: G06T7/194 ,  G06V10/82 ,  H04N7/14 ,  G06T7/11 ,  G06N3/08 ,  G06N3/04 ,  G06V30/242 ,  G06F18/214 ,  G06F18/24 ,  G06V30/19 ,  H04N5/445 ,  H04N5/76

CPC classification number: H04N7/147 ,  G06F18/214 ,  G06F18/24765 ,  G06N3/04 ,  G06N3/08 ,  G06T7/11 ,  G06T7/194 ,  G06V10/82 ,  G06V30/19173 ,  G06V30/242 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/30201 ,  H04N5/44504 ,  H04N5/76 ,  H04N7/141

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can he assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented. using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

公开(公告)号：US10402689B1

公开(公告)日：2019-09-03

申请号：US15706057

申请日：2017-09-15

Applicant: Snap Inc.

Inventor： Lidiia Bogdanovych ,  William Brendel ,  Samuel Edward Hare ,  Fedir Poliakov ,  Guohui Wang ,  Xuehan Xiong ,  Jianchao Yang ,  Linjie Yang

IPC: G06T7/11 ,  G06K9/62 ,  G06K9/74 ,  G06T7/194 ,  G06N3/08 ,  G06N3/04 ,  G06K9/68 ,  H04N7/14 ,  H04N5/445 ,  H04N5/76

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

公开(公告)号：US20230362331A1

公开(公告)日：2023-11-09

申请号：US18221702

申请日：2023-07-13

Applicant: Snap Inc.

Inventor： Lidiia Bogdanovych ,  William Brendel ,  Samuel Edward Hare ,  Fedir Poliakov ,  Guohui Wang ,  Xuehan Xiong ,  Jianchao Yang ,  Linjie Yang

IPC: H04N7/14 ,  G06T7/11 ,  G06T7/194 ,  G06N3/08 ,  G06N3/04 ,  G06V30/242 ,  G06V10/82 ,  G06F18/214 ,  G06F18/24 ,  G06V30/19

CPC classification number: H04N7/147 ,  G06T7/11 ,  G06T7/194 ,  G06N3/08 ,  G06N3/04 ,  G06V30/242 ,  G06V10/82 ,  G06F18/214 ,  G06F18/24765 ,  G06V30/19173 ,  H04N7/141 ,  G06T2207/10024 ,  G06T2207/10016 ,  G06T2207/20024 ,  G06T2207/20221 ,  G06T2207/30201 ,  G06T2207/20081 ,  G06T2207/20084 ,  H04N5/44504

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

公开(公告)号：US20210027100A1

公开(公告)日：2021-01-28

申请号：US16992968

申请日：2020-08-13

Applicant: Snap Inc.

Inventor： Lidiia Bogdanovych ,  William Brendel ,  Samuel Edward Hare ,  Fedir Poliakov ,  Guohui Wang ,  Xuehan Xiong ,  Jianchao Yang ,  Linjie Yang

IPC: G06K9/62 ,  G06K9/74 ,  G06T7/11 ,  G06T7/194 ,  G06N3/08 ,  G06N3/04 ,  G06K9/68

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can he assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented. using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

公开(公告)号：US20240372963A1

公开(公告)日：2024-11-07

申请号：US18772971

申请日：2024-07-15

Applicant: Snap inc.

Inventor： Lidiia Bogdanovych ,  William Brendel ,  Samuel Edward Hare ,  Fedir Paliakov ,  Guohui Wang ,  Xuehan Xiong ,  Jianchao Yang ,  Linjie Yang

IPC: H04N7/14 ,  G06F18/214 ,  G06F18/24 ,  G06N3/04 ,  G06N3/08 ,  G06T7/11 ,  G06T7/194 ,  G06V10/82 ,  G06V30/19 ,  G06V30/242 ,  H04N5/445 ,  H04N5/76

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

公开(公告)号：US10776663B1

公开(公告)日：2020-09-15

申请号：US16521956

申请日：2019-07-25

Applicant: Snap Inc.

Inventor： Lidiia Bogdanovych ,  William Brendel ,  Samuel Edward Hare ,  Fedir Poliakov ,  Guohui Wang ,  Xuehan Xiong ,  Jianchao Yang ,  Linjie Yang

IPC: G06K9/62 ,  G06T7/11 ,  G06T7/194 ,  G06N3/08 ,  G06N3/04 ,  G06K9/68 ,  G06K9/74 ,  H04N5/76 ,  H04N5/445 ,  H04N7/14

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.