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公开(公告)号:US11514635B2
公开(公告)日:2022-11-29
申请号:US17163053
申请日:2021-01-29
Applicant: Snap Inc.
Inventor: Bradley Kotsopoulos , Michael Kozakov , Yingying Wang , Nicholas Hendriks , Derek Spencer
IPC: G06T13/40 , G06F3/04845 , G06T13/80 , H04N21/239 , H04N21/262 , H04N21/44 , H04N21/81 , H04N21/84
Abstract: Method for generating media content items on demand starts with a processor receiving an animation file including a first metadata based on an animation input. The animation file is associated with a media content identification. The processor generates puppets associated with frames in the animation file using the first metadata. The processor causes a puppet matching interface to be displayed on a client device. The puppet matching interface includes one of the puppets in a first pose. The processor receives a puppet posing input associated with a second pose from the client device. The processor causes the one of the puppets to be displayed in the second pose in the puppet matching interface by the client device. The processor can also generate a second metadata based on the puppet posing input. Other embodiments are disclosed herein.
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公开(公告)号:US11348301B2
公开(公告)日:2022-05-31
申请号:US17247557
申请日:2020-12-16
Applicant: Snap Inc.
Inventor: Harrison Jesse Smith , Chen Cao , Yingying Wang
Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.
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