Snap Inc.

Jonathan Solichin

Olesia Voronova

Celia Nicole Mourkogiannis

Jean Luo

Virginia Drummond

Alek Matthiessen

Christine Barron

Olha Rykhliuk

Jianchao Yang

Samuel Edward Hare

Tony Mathew

Ning Zhang

Yuncheng Li

Travis Chen

Artem Yagodin

Aleksei Stoliar

Xintong Shi

Xinyao Wang

Amir Alavi

Systems, methods, and computer readable media for augmented reality beauty product tutorials. Methods disclose determining from live images of an augmented reality (AR) tutorial effects, the effects indicating changes to the live images of a presenter of the AR tutorial from a beauty product being applied to a body part of the presenter. The methods further comprising determining from the live images motion, the motion indicating motion of the beauty product from the beauty product being applied to the body part of the presenter and storing the effects and the motion.

Augmented reality beauty product tutorials

Systems and methods herein describe a method for capturing a video in real-time by an image capture device. The system provides a plurality of visual pose hints, identifies first pose information in the video while capturing the video, applies a first series of virtual effects to the video, identifies second pose information, and applies a second series of virtual effects to the video, the second series of virtual effects based on the first series of virtual effects.

User interface for pose driven virtual effects

Systems, methods, and computer-readable media for adding beauty products to tutorials are presented. Methods include accessing video data comprising images of a presenter creating a tutorial, the tutorial depicting the presenter applying a beauty product to a body part of the presenter. Methods further include processing the video data to identify changes to the body part of the presenter from an application of the beauty product, and responding to identifying changes to the body part of the presenter from the application of the beauty product by processing the video data to identify the beauty product. Methods further include retrieving information regarding the beauty product and causing presentation of information regarding the beauty product on a display device.

Adding beauty products to augmented reality tutorials

Systems and methods describe an augmented reality (AR) system for generating AR experiences in real-time. The AR experience system receives a selection of an AR experience from an application running on a computer device, displays a first set of textual cues associated with the AR experience on the computer device, receives a first set of image data corresponding to the first set of textual cues, generates a first AR object associated with the AR experience, displays the first AR object on the computer device and a second set of textual cues associated with the AR experience, receives a second set of image data corresponding to the second set of textual cues, and generates a second AR object associated with the AR experience.

Dynamic augmented reality experience

Systems and methods herein describe a multi-modal interaction system. The multi-modal interaction system, receives a selection of an augmented reality (AR) experience within an application on a computer device, displays a set of AR objects associated with the AR experience on a graphical user interface (GUI) of the computer device, display textual cues associated with the set of augmented reality objects on the GUI, receives a hand gesture and a voice command, modifies a subset of augmented reality objects of the set of augmented reality objects based on the hand gesture and the voice command, and displays the modified subset of augmented reality objects on the GUI.

Controlling augmented reality effects through multi-modal human interaction

Systems, methods, and computer readable media for augmented reality beauty product tutorials are disclosed. Methods disclose displaying on a first portion of a screen a beauty product tutorial including pre-recorded images of a presenter applying a beauty product to a body part of the presenter and determining first effects indicating changes to make to live images of a user to simulate applying the beauty product to the body part of the user, where the first effects are determined based on second effects indicating changes to the pre-recorded images from applying the beauty product to the body part of the presenter. Methods further disclose processing the live images of the user to add the first effects and indications of motion of the beauty product and displaying the processed live images of the user on a second portion of the screen.

Systems and methods herein describe receiving an image via an image capture device, using a machine learning model, generating an image augmentation decision, accessing an augmented reality content item, associating the generated image augmentation decision with the augmented reality content item, modifying the received image using the augmented reality content item and the associated image augmentation decision, and causing presentation of the modified image on a graphical user interface of a computing device.

Machine learning in augmented reality content items

Systems and methods are presented for capturing a video in real-time by an image capture device using a skeletal pose system. The skeletal pose system identifies first pose information in the video, applies a first virtual effect to the video in response to identifying the first pose information, identifies second pose information in the video, and applies a second virtual effect to the video in response to identifying the first pose information.

Skeletal tracking for real-time virtual effects

Systems, devices, media, and methods are presented for object detection and inserting graphical elements into an image stream in response to detecting the object. The systems and methods detect an object of interest in received frames of a video stream. The systems and methods identify a bounding box for the object of interest and estimate a three-dimensional position of the object of interest based on a scale of the object of interest. The systems and methods generate one or more graphical elements having a size based on the scale of the object of interest and a position based on the three-dimensional position estimated for the object of interest. The one or more graphical elements are generated within the video stream to form a modified video stream. The systems and methods cause presentation of the modified video stream including the object of interest and the one or more graphical elements.

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Arcadia, CA, United States of America

Jonathan Solichin