Snap Inc.

Samuel Edward Hare

Andrew James McPhee

Tony Mathew

Kyle Goodrich

Maxim Maximov Lazarov

Wentao Shang

Daniel Moreno

Ebony James Charlton

Michael John Evans

Dhritiman Sagar

Guohui Wang

Robert Cornelius Murphy

Jianchao Yang

Fedir Poliakov

Linjie Yang

Xuehan Xiong

Jokubas Dargis

Eitan Pilipski

Shah Tanmay Anilkumar

Ricardo Sanchez-Saez

Peicheng Yu

Sumant Milind Hanumante

William Brendel

Fenglei Tian

Lidiia Bogdanovych

Piers George Cowburn

Isac Andreas Müller Sandvik

David Li

Ning Zhang

Yuncheng Li

Jonathan Solichin

Travis Chen

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for rendering virtual modifications to real-world environments depicted in image content. A reference surface is detected in a three-dimensional (3D) space captured within a camera feed produced by a camera of a computing device. An image mask is applied to the reference surface within the 3D space captured within the camera feed. A visual effect is applied to the image mask corresponding to the reference surface in the 3D space. The application of the visual effect to the image mask causes a modified surface to be rendered in presenting the camera feed on a display of the computing device.

Virtual surface modification

The subject technology applies a three-dimensional (3D) effect to image data and depth data based at least in part on an augmented reality content generator. The subject technology generates a segmentation mask based at least on the image data. The subject technology performs background inpainting and blurring of the image data using at least the segmentation mask to generate background inpainted image data. The subject technology generates a packed depth map based at least in part on the a depth map of the depth data. The subject technology generates, using the processor, a message including information related to the applied 3D effect, the image data, and the depth data.

Generating 3D data in a messaging system

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and method for performing operations comprising: receiving, by a messaging application, a video feed from a camera of a user device that depicts a face; receiving a request to add a 3D caption to the video feed; identifying a graphical element that is associated with context of the 3D caption; and displaying the 3D caption and the identified graphical element in the video feed at a position in 3D space of the video feed proximate to the face depicted in the video feed.

3D captions with semantic graphical elements

Among other things, embodiments of the present disclosure improve the functionality of computer software and systems by facilitating the automatic performance optimization of a software application based on the particular platform upon which the application runs. In some embodiments, the system can automatically choose a set of parameters or methods at run-time from a design space with pre-selected optimization methods and parameters (e.g., algorithms, software libraries, and/or hardware accelerators) for a specific task.

Automatic software performance optimization

The subject technology receives, at a client device, a selection of a selectable graphical item from a plurality of selectable graphical items, the selectable graphical item comprising an augmented reality content generator including a 3D effect. The subject technology applies, to image data and depth data, the 3D effect based at least in part on the augmented reality content generator, the applying the 3D effect. The subject technology generates a depth map using at least the depth data, generates a segmentation mask based at least on the image data, and performs background inpainting and blurring of the image data using at least the segmentation mask to generate background inpainted image data. The subject technology generates a 3D message based at least in part on the applied 3D effect.

Effects for 3D data in a messaging system

Systems, devices, media and methods are presented for presentation of modified objects within a video stream. The systems and methods select an object of interest depicted within a user interface based on an associated image modifier, determine a modifier context based at least in part on one or more characteristics of the selected object, identify a set of image modifiers based on the modifier context, rank a first portion of the identified set of image modifiers based on a primary ordering characteristic, rank a second portion of the identified set of image modifiers based on a secondary ordering characteristic and cause presentation of the modifier icons for the ranked set of image modifiers.

Selective identification and order of image modifiers

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering three-dimensional virtual objects within real-world environments. Virtual rendering of a three-dimensional virtual object can be altered appropriately as a user moves around the object in the real-world through utilization of a redundant tracking system comprising multiple tracking sub-systems. Virtual object rendering can be with respect to a reference surface in a real-world three-dimensional space depicted in a camera view of a mobile computing device.

Surface aware lens

Systems and methods are provided for capturing by a camera of a user device, a first image depicting a first environment of the user device; overlaying a first virtual object on a portion of the first image depicting the first environment; modifying a surface of the first virtual object using content captured by the user device; storing a second virtual object comprising the first virtual object with the modified surface; and generating for display the second virtual object on a portion of a second image depicting a second environment.

3D object camera customization system

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and method for performing operations comprising: receiving, by a messaging application, an image from a camera of a user device; receiving input that selects a user-customizable effects option for activating a user-customizable effects mode; in response to receiving the input, displaying an array of a plurality of effect options together with the image proximate to the user-customizable effects option; and applying a first effect associated with a first effect option of the plurality of effect options to the image.

DIY effects image modification

The subject technology generates a segmentation mask based on first image data. The subject technology applies the segmentation mask on first depth data to reduce a set of artifacts in a depth map based on the first depth data. The subject technology generates a packed depth map based at least in part on the depth map. The subject technology converts a single channel floating point texture to a raw depth map. The subject technology generates multiple channels. The subject technology applies, to the first image data and the first depth data, a first augmented reality content generator corresponding to a selected first selectable graphical item, the first image data and the first depth data being captured with a camera. The subject technology generates a message including the applied first augmented reality content generator to the first image data and the first depth data.

Augmented reality content generators including 3D data in a messaging system

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and method for performing operations comprising: receiving, by one or more processors that implement a messaging application, a video feed from a camera of a user device; detecting, by the messaging application, a face in the video feed; in response to detecting the face in the video feed, retrieving a three-dimensional (3D) caption; modifying the video feed to include the 3D caption at a position in 3D space of the video feed proximate to the face; and displaying a modified video feed that includes the face and the 3D caption.

3D captions with face tracking

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and method for rendering three-dimensional captions (3D) in real-world environments depicted in image content. An editing interface is displayed on a client device. The editing interface includes an input component displayed with a view of a camera feed. A first input comprising one or more text characters is received. In response to receiving the first input, a two-dimensional (2D) representation of the one or more text characters is displayed. In response to detecting a second input, a preview interface is displayed. Within the preview interface, a 3D caption based on the one or more text characters is rendered at a position in a 3D space captured within the camera feed. A message is generated that includes the 3D caption rendered at the position in the 3D space captured within the camera feed.

Rendering 3D captions within real-world environments

A redundant tracking system comprising multiple redundant tracking sub-systems, enabling seamless transitions between such tracking sub-systems, provides a solution to this problem by merging multiple tracking approaches into a single tracking system. This system is able to combine tracking objects with six degrees of freedom (6 DoF) and 3 DoF through combining and transitioning between multiple tracking systems based on the availability of tracking indicia tracked by the tracking systems. Thus, as the indicia tracked by any one tracking system becomes unavailable, the redundant tracking system seamlessly switches between tracking in 6 DoF and 3 DoF thereby providing the user with an uninterrupted experience.

Redundant tracking system

A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

Generating an image mask using machine learning

Systems and methods are provided for receiving a two-dimensional (2D) image comprising a 2D object; identifying a contour of the 2D object; generating a three-dimensional (3D) mesh based on the contour of the 2D object; and applying a texture of the 2D object to the 3D mesh to output a 3D object representing the 2D object.

Growing community of inventors

Los Angeles, CA, United States of America

Samuel Edward Hare