RECOMMENDING FASHION ITEM FIT STYLE USING LANDMARKS

    公开(公告)号:US20250078127A1

    公开(公告)日:2025-03-06

    申请号:US18458807

    申请日:2023-08-30

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for using machine learning models to recommend fashion item fit styles based on body surface landmarks. The methods and systems access one or more images depicting a person wearing one or more fashion items and process, using one or more machine learning models, the one or more images to estimate a data set comprising a set of body landmarks of the person, a set of garment classifications associated with the one or more fashion items, and a set of garment segmentations for the one or more fashion items. The methods and systems identify one or more fit styles associated with the person based on the estimated data set and cause presentation of one or more real-world fashion items matching the identified one or more fit styles.

    PERSONALIZED AVATAR REAL-TIME MOTION CAPTURE

    公开(公告)号:US20250069312A1

    公开(公告)日:2025-02-27

    申请号:US18943660

    申请日:2024-11-11

    Applicant: Snap Inc.

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for performing operations comprising: capturing a video that depicts a person; identifying a set of skeletal joints of the person depicted in the video; storing a movement vector representing previously captured three-dimensional (3D) movement of the set of skeletal joints of the person depicted in the video; receiving input that selects a 3D avatar; and animating, based on the movement vector, the 3D avatar to mimic the previously captured 3D movement of the set of skeletal joints of the person depicted in the video.

    Real-time garment exchange
    73.
    发明授权

    公开(公告)号:US12223672B2

    公开(公告)日:2025-02-11

    申请号:US17557652

    申请日:2021-12-21

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for performing operations for transferring garments in a video from one real-world object to another in real time. The operations comprise receiving a first video that includes a depiction of a first person wearing a first garment in a first pose and obtaining a second video that includes a depiction of a second person wearing a second garment in a second pose. The operations comprise modifying a pose of the second person to match the first pose of the first person depicted in the first video. The operations comprise generating a whole-body segmentation of the second garment which the second person is wearing in the second video and changing an appearance of the first person from wearing the first garment to wearing the second garment based on the whole-body segmentation of the second garment which the second person is wearing in the second video.

    Skeletal tracking using previous frames

    公开(公告)号:US12198372B2

    公开(公告)日:2025-01-14

    申请号:US18156519

    申请日:2023-01-19

    Applicant: Snap Inc.

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for detecting a pose of a user. The program and method include operations comprising receiving a monocular image that includes a depiction of a body of a user; detecting a plurality of skeletal joints of the body based on the monocular image; accessing a video feed comprising a plurality of monocular images received prior to the monocular image; filtering, using the video feed, the plurality of skeletal joints of the body detected based on the monocular image; and determining a pose represented by the body depicted in the monocular image based on the filtered plurality of skeletal joints of the body.

    COMPRESSED VIDEO PROCESSING SYSTEM
    75.
    发明申请

    公开(公告)号:US20240404278A1

    公开(公告)日:2024-12-05

    申请号:US18205696

    申请日:2023-06-05

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for applying machine learning models to compressed videos. The system receives a video, depicting an object, that has previously been compressed using one or more video compression processes. The system analyzes, using one or more machine learning models, the video that has previously been compressed to generate a prediction corresponding to the object depicted in the video, with one or more artifacts resulting from application of the one or more machine learning models to the video that has been previously compressed being absent from the prediction. The system generates a visual output based on the prediction in which the one or more artifacts are absent.

    Body pose estimation
    76.
    发明授权

    公开(公告)号:US12136158B2

    公开(公告)日:2024-11-05

    申请号:US18060449

    申请日:2022-11-30

    Applicant: Snap Inc.

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for detecting a pose of a user. The program and method include receiving a monocular image that includes a depiction of a body of a user; detecting a plurality of skeletal joints of the body depicted in the monocular image; and determining a pose represented by the body depicted in the monocular image based on the detected plurality of skeletal joints of the body. A pose of an avatar is modified to match the pose represented by the body depicted in the monocular image by adjusting a set of skeletal joints of a rig of an avatar based on the detected plurality of skeletal joints of the body; and the avatar having the modified pose that matches the pose represented by the body depicted in the monocular image is generated for display.

    APPLYING PREGENERATED VIRTUAL EXPERIENCES IN NEW LOCATION

    公开(公告)号:US20240296640A1

    公开(公告)日:2024-09-05

    申请号:US18664996

    申请日:2024-05-15

    Applicant: Snap Inc.

    CPC classification number: G06T19/006 G06N3/02 G06T19/20

    Abstract: Aspects of the present disclosure involve a system for providing virtual experiences. The system performs operations including selecting, by a messaging application, a virtual experience that represents a previously captured real-world environment at a first location; accessing an image representing a new real-world environment at a second location, the image depicting a plurality of real-world objects; receiving input that selects a first real-world object from the plurality of real-world objects depicted in the image; and modifying the image, accessed at the second location, based on the virtual experience to depict the previously captured real-world environment with the first real-world object.

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