Snap Inc.

Maxim Maximov Lazarov

Andrew James McPhee

Kyle Goodrich

Samuel Edward Hare

Daniel Moreno

Tony Mathew

Wentao Shang

Dhritiman Sagar

Piers George Cowburn

Isac Andreas Müller Sandvik

David Li

Nathan Kenneth Boyd

Pedram Javidpour

Alex Edelsburg

Ryan Thomas

Nathan Richard Banks

Amanda Durham

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 receives frames of a source media content. The subject technology detects from the frames of the source media content, a first gesture indicating a cut point at a particular frame of the source media content, the cut point associated with a trimming operation to be performed on the source media content. The subject technology selects a starting frame and an ending frame from the frames based at least in part on the cut point at the particular frame. The subject technology performs the trimming operation based on the starting frame and the ending frame. The subject technology generates a second media content using the third set of frames. The subject technology provides for display at least a portion of the third set of frames of the second media content.

Auto trimming for augmented reality content in messaging systems

The subject technology detects a first gesture corresponding to an open trigger finger gesture. The subject technology detects a location and a position of a representation of a finger from the open trigger finger gesture. The subject technology generates a first virtual object based at least in part on the location and the position of the representation of the finger. The subject technology detects a first collision event. The subject technology detects a second gesture corresponding to a closed trigger finger gesture. The subject technology selects the second virtual object. The subject technology renders the first virtual object as attached to the second virtual object in response to the selecting. The subject technology provides for display the rendered first virtual object as attached to the second virtual object within a first scene.

Trigger gesture for selection of augmented reality content in messaging systems

The subject technology receives a set of frames. The subject technology detect a first gesture correspond to an open trigger finger gesture. The subject technology receives a second set of frames. The subject technology detects from the second set of frames, a second gesture correspond to a closed trigger finger gesture. The subject technology detects a location and a position of a representation of a finger from the closed trigger finger gesture. The subject technology generates a first virtual object based at least in part on the location and the position of the representation of the finger. The subject technology renders a movement of the first virtual object along a vector away from the location and the position of the representation of the finger within a first scene. The subject technology provides for display the rendered movement of the first virtual object along the vector within the first scene.

Shooting interaction using augmented reality content in a messaging system

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 generating AR experiences on a messaging platform. The methods and systems perform operations including: detecting a real-world object depicted in a first image captured by a first camera of a client device, the client device comprising a second camera; extracting one or more textures from the real-world object depicted in the first image; selecting a target object depicted in a second image captured by the second camera, the second image being captured by the second camera simultaneously with the first image captured by the first camera; generating an augmented reality (AR) element comprising the target object modified based on the one or more textures extracted from the real-world object depicted in the first image; and causing display of the AR element within the second image.

Augmented reality experiences with dual cameras

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

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

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.

Growing community of inventors

Culver City, CA, United States of America

Maxim Maximov Lazarov