公开(公告)号：US20210019929A1

公开(公告)日：2021-01-21

申请号：US17062309

申请日：2020-10-02

Applicant: Snap Inc.

Inventor： Egor Nemchinov ,  Sergei Gorbatyuk ,  Aleksandr Mashrabov ,  Egor Spirin ,  Iaroslav Sokolov ,  Andrei Smirdin ,  Igor Tukh

IPC: G06T13/40 ,  G06T7/194 ,  G06T15/04 ,  G06T3/00 ,  G06N3/08 ,  G06T17/20

Abstract: Provided are systems and methods for single image-based body animation. An example method includes receiving an input image that includes a body of a person and segmenting the input image into a body portion and a background portion. The method further includes fitting a model to the body portion. The model is configured to receive a set of pose parameters representing a pose of the body and generate an output image including an image of the body adopting the pose. The method further includes receiving a series of further sets of pose parameters, each representing at least one of further poses of the body. The further sets of pose parameters are generated using a generic model. The method also includes generating a series of output images of the body adopting the further poses and generating an output video based on the series of output images.

公开(公告)号：US10789453B2

公开(公告)日：2020-09-29

申请号：US16251436

申请日：2019-01-18

Applicant: SNAP INC.

Inventor： Pavel Savchenkov ,  Dmitry Matov ,  Aleksandr Mashrabov ,  Alexey Pchelnikov

IPC: G06K9/00 ,  G06T11/00 ,  G06Q30/02 ,  G06N3/04

Abstract: Provided are systems and a method for photorealistic real-time face reenactment. An example method includes receiving a target video including a target face and a source video including a source face. The method includes determining, based on the target face, a target facial expression. The method includes determining, based on the source face, a source facial expression. The method includes synthesizing, using the parametric face model, an output face. The output face including the target face wherein the target facial expression is modified to imitate the source facial expression. The method includes generating, based on a deep neural network, mouth and eyes regions, and combining the output face, the mouth, and eyes regions to generate a frame of an output video.

公开(公告)号：US20200234480A1

公开(公告)日：2020-07-23

申请号：US16662743

申请日：2019-10-24

Applicant: SNAP INC.

Inventor： Yurii Volkov ,  Pavel Savchenkov ,  Maxim Lukin ,  Ivan Belonogov ,  Nikolai Smirnov ,  Aleksandr Mashrabov

IPC: G06T13/40 ,  G06K9/00 ,  G06T7/70

Abstract: Provided are systems and methods for realistic head turns and face animation synthesis. An example method may include receiving frames of a source video with the head and the face of a source actor. The method may then proceed with generating sets of source pose parameters that represent positions of the head and facial expressions of the source actor. The method may further include receiving at least one target image including the target head and the target face of a target person, determining target identity information associated with the target face, and generating an output video based on the target identity information and the sets of source pose parameters. Each frame of the output video can include an image of the target face modified to mimic at least one of the positions of the head of the source actor and at least one of facial expressions of the source actor.

公开(公告)号：US20200234034A1

公开(公告)日：2020-07-23

申请号：US16251436

申请日：2019-01-18

Applicant: SNAP INC.

Inventor： Pavel Savchenkov ,  Dmitry Matov ,  Aleksandr Mashrabov ,  Alexey Pchelnikov

IPC: G06K9/00 ,  G06T11/00 ,  G06N3/04 ,  G06Q30/02

Abstract: Provided are systems and a method for photorealistic real-time face reenactment. An example method includes receiving a target video including a target face and a source video including a source face. The method includes determining, based on the target face, a target facial expression. The method includes determining, based on the source face, a source facial expression. The method includes synthesizing, using the parametric face model, an output face. The output face including the target face wherein the target facial expression is modified to imitate the source facial expression. The method includes generating, based on a deep neural network, mouth and eyes regions, and combining the output face, the mouth, and eyes regions to generate a frame of an output video.