公开(公告)号：US20240422113A1

公开(公告)日：2024-12-19

申请号：US18209130

申请日：2023-06-13

Applicant: Snap Inc.

Inventor： Sergey Smetanin ,  Dor Ayalon ,  Vladimir Gordienko ,  Roman Golobokov ,  Ivan Babanin ,  Timur Zakirov ,  Nikita Demidov ,  Aleksandr Larionov ,  Anna Kovalenko ,  Nikita Belosludtcev

IPC: H04L51/10 ,  G06F3/04817 ,  H04L51/046 ,  H04L51/52

Abstract: Examples described herein relate to techniques for facilitating selection of stickers for inclusion in messages within the context of an interaction system. According to some examples, message content is detected and a set of candidate stickers is identified based on the message content. A search icon is dynamically replaced with a representation of respective ones of the set of candidate stickers. At a first point in time, the search icon represents a first candidate sticker of the set of candidate stickers. At a second point in time, the search icon represents a second candidate sticker of the set of candidate stickers.

公开(公告)号：US20240221259A1

公开(公告)日：2024-07-04

申请号：US18149007

申请日：2022-12-30

Applicant: Snap Inc.

Inventor： Aleksandr Belskikh ,  Menglei Chai ,  Antoine Chassang ,  Anna Kovalenko ,  Pavel Savchenkov

IPC: G06T13/40 ,  G06N3/094 ,  G06T19/00

CPC classification number: G06T13/40 ,  G06N3/094 ,  G06T19/006

Abstract: The subject technology generates a first image of a face using a GAN model. The subject technology applies 3D virtual hair on the first image to generate a second image with 3D virtual hair. The subject technology projects the second image with 3D virtual hair into a GAN latent space to generate a third image with realistic virtual hair. The subject technology performs a blend of the realistic virtual hair with the first image of the face to generate a new image with new realistic hair that corresponds to the 3D virtual hair. The subject technology trains a neural network that receives the second image with the 3D virtual hair and provides an output image with realistic virtual hair. The subject technology generates using the trained neural network, a particular output image with realistic hair based on a particular input image with 3D virtual hair.

公开(公告)号：US12047337B1

公开(公告)日：2024-07-23

申请号：US18346667

申请日：2023-07-03

Applicant: Snap Inc.

Inventor： Sergey Smetanin ,  Roman Golobokov ,  Emily Ann Claudet ,  Dor Ayalon ,  Vladimir Gordienko ,  Erin Houston ,  Ivan Babanin ,  Timur Zakirov ,  Nikita Demidov ,  Aleksandr Larionov ,  Anna Kovalenko ,  Nikita Belosludtcev

IPC: G06F15/16 ,  G06F3/0482 ,  G06T13/40 ,  H04L51/046 ,  H04L51/10 ,  H04L51/52 ,  H04N5/265

CPC classification number: H04L51/10 ,  G06F3/0482 ,  G06T13/40 ,  H04L51/046 ,  H04L51/52 ,  H04N5/265

Abstract: A method includes determining participation in an interaction function by a first user of an interaction system with a second user of the interaction system. The method also includes accessing profile data of the first user, and determining, based on the profile data, whether the first user has captured or designated a first-user self-image for use in the interaction function. In response to determining that the first user has not captured or designated the first-user self-image, the method includes accessing a media content item that includes a character, identifying a head portion of the character in the media content item, replacing the head portion with a placeholder space, and displaying the media content item with the placeholder space in a user interface corresponding to the interaction function.

公开(公告)号：US20250022264A1

公开(公告)日：2025-01-16

申请号：US18221241

申请日：2023-07-12

Applicant: Snap Inc.

Inventor： Aleksandr Belskikh ,  Antoine Chassang ,  Anna Kovalenko ,  Pavel Savchenkov

IPC: G06V10/82 ,  G06T3/00 ,  G06V20/40

Abstract: The subject technology trains a neural network based on a training process. The subject technology selects a frame from an input video, the selected frame comprising image data including a representation of a face and hair, the representation of the hair being masked. The subject technology determines a previous predicted frame. The subject technology concatenates the selected frame and the previous predicted frame to generate a concatenated frame, the concatenated frame being provided to the neural network. The subject technology generates, using the neural network, a set of outputs including an output tensor, warping field, and a soft mask. The subject technology performs, using a warping field, a warp of the selected frame and the output tensor. The subject technology generates a prediction corresponding to a corrected texture rendering of the selected frame.

公开(公告)号：US20250016127A1

公开(公告)日：2025-01-09

申请号：US18742913

申请日：2024-06-13

Applicant: Snap Inc.

Inventor： Sergey Smetanin ,  Roman Golobokov ,  Emily Ann Claudet ,  Dor Ayalon ,  Vladimir Gordienko ,  Erin Houston ,  Ivan Babanin ,  Timur Zakirov ,  Nikita Demidov ,  Aleksandr Larionov ,  Anna Kovalenko ,  Nikita Belosludtcev

IPC: H04L51/10 ,  G06F3/0482 ,  G06T13/40 ,  H04L51/046 ,  H04L51/52 ,  H04N5/265

Abstract: A method includes determining participation in an interaction function by a first user of an interaction system with a second user of the interaction system. The method also includes accessing profile data of the first user, and determining, based on the profile data, whether the first user has captured or designated a first-user self-image for use in the interaction function. In response to determining that the first user has not captured or designated the first-user self-image, the method includes accessing a media content item that includes a character, identifying a head portion of the character in the media content item, replacing the head portion with a placeholder space, and displaying the media content item with the placeholder space in a user interface corresponding to the interaction function.