LATENT DIFFUSION MODEL AUTODECODERS

    公开(公告)号:US20240395028A1

    公开(公告)日:2024-11-28

    申请号:US18400677

    申请日:2023-12-29

    Applicant: Snap Inc.

    Abstract: Described is a system for improving machine learning models. In some cases, the system improves such models by identifying an autoencoder for a latent diffusion machine learning model, the latent diffusion machine learning model is trained to receive text as input and output an image based on the received text. The system identifies a number of channels in a decoder of the autoencoder, the decoder being configured to receive latent features as input and output images. The system further identifies a performance characteristic of the decoder and changes the node topology of the decoder based on the performance characteristic to generate an updated decoder. The system retrains the latent diffusion machine learning model using the updated decoder by inputting latent features to the updated decoder, receiving an outputted image from the updated decoder, and updating one or more weights of the decoder based on an assessment of the outputted image.

    PROVIDING 3D DATA FOR MESSAGES IN A MESSAGING SYSTEM

    公开(公告)号:US20230017627A1

    公开(公告)日:2023-01-19

    申请号:US17952051

    申请日:2022-09-23

    Applicant: Snap Inc.

    Abstract: The subject technology generates depth data using a machine learning model based at least in part on captured image data from at least one camera of a client device. The subject technology applies, to the captured image data and the generated depth data, a 3D effect based at least in part on an augmented reality content generator. The subject technology generates a depth map using at least the depth data. The subject technology generates a packed depth map based at least in part on the depth map, the generating the packed depth map. The subject technology converts a single channel floating point texture to a raw depth map. The subject technology generates multiple channels based at least in part on the raw depth map. The subject technology generates a segmentation mask based at least on the captured image data. The subject technology performs background inpainting and blurring of the captured image data using at least the segmentation mask to generate background inpainted image data.

    VIRTUAL VISION SYSTEM
    8.
    发明申请

    公开(公告)号:US20210375056A1

    公开(公告)日:2021-12-02

    申请号:US17321706

    申请日:2021-05-17

    Applicant: Snap Inc.

    Abstract: A context based augmented reality system can be used to display augmented reality elements over a live video feed on a client device. The augmented reality elements can be selected based on a number of context inputs generated by the client device. The context inputs can include location data of the client device and location data of nearby physical places that have preconfigured augmented elements. The preconfigured augmented elements can be preconfigured to exhibit a design scheme of the corresponding physical place.

    VIRTUAL VISION SYSTEM
    9.
    发明申请

    公开(公告)号:US20200258307A1

    公开(公告)日:2020-08-13

    申请号:US16745117

    申请日:2020-01-16

    Applicant: Snap Inc.

    Abstract: A context based augmented reality system can be used to display augmented reality elements over a live video feed on a client device. The augmented reality elements can be selected based on a number of context inputs generated by the client device. The context inputs can include location data of the client device and location data of nearby physical places that have preconfigured augmented elements. The preconfigured augmented elements can be preconfigured to exhibit a design scheme of the corresponding physical place.

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