Snap Inc.

Wentao Shang

Tony Mathew

Andrew James McPhee

Samuel Edward Hare

Kyle Goodrich

Maxim Maximov Lazarov

Daniel Moreno

Dhritiman Sagar

Piers George Cowburn

Isac Andreas Müller Sandvik

David Li

Rastan Boroujerdi

Peng Deng

Alan Buzdar

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for rendering a virtual object in a real-world environment depicted in image content based on contextual information. A virtual object template is selected. One or more stylizations for the virtual object template are determined based on contextual information associated with a computing device. A virtual object is generated by applying the one or more stylizations to the virtual object template. The virtual object is rendered within a 3D space captured within a camera feed of the computing device.

Context-based virtual object rendering

The subject technology applies, to image data and depth data, a 3D effect including at least one beautification operation based on an augmented reality content generator, the 3D effect including a beautification operation, the beautification operation comprising modifying image data, the image data including a region corresponding to a representation of a face, the beautification operation comprising using a machine learning model for at least one of smoothing blemishes or preserving facial skin texture. The subject technology generates a depth map using at least the depth data. 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 3D message based at least in part on the applied 3D effect including the at least one beautification operation.

Beautification techniques for 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 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

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

Methods and systems are disclosed for performing generating AR experiences on a messaging platform. The methods and systems perform operations including: receiving, from a client device, a request to access an augmented reality (AR) experience; adding one or more AR elements to a first image captured by the client device, the first image depicting a real-world object; storing data representing a position of the one or more AR elements relative to the real-world object, the data being maintained after the AR experience is terminated; receiving a request to resume the AR experience after the AR experience has been terminated; and in response to receiving the request to resume the AR experience, accessing the data that was stored prior to termination of the AR experience to generate a display of the AR experience that depicts the one or more AR elements at a particular position within a second image.

Persisting augmented reality experiences

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 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

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.

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Los Angeles, CA, United States of America

Wentao Shang