Abstract: Aspects of the present disclosure involve a system for presenting AR items. The system performs operations including receiving a video that includes a depiction of one or more real-world objects in a real-world environment and obtaining depth data related to the real-world environment. The operations include generating a three-dimensional (3D) model of the real-world environment based on the video and the depth data and adding an augmented reality (AR) item to the video based on the 3D model of the real-world environment. The operations include determining that the AR item has been placed on a vertical plane of the real-world environment and modifying an orientation of the AR item to correspond to an orientation of the vertical plane.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a person wearing a fashion item; generating a three-dimensional (3D) model of the person depicted in the video; generating a segmentation of the fashion item worn by the person depicted in the video; outlining a portion of the 3D model based on the segmentation of the fashion item; tracking movement of the portion of the 3D model in the video; and in response to tracking the movement of the portion of the 3D model in the video, modifying a display position of one or more augmented reality elements on the fashion item in the video.

Abstract: Aspects of the present disclosure involve a system for performing real-time in-painting using machine learning techniques. The system receives a video that includes a depiction of a real-world object in a real-world environment. The system accesses a segmentation associated with the real-world object and removes a depiction of the real-world object from a region of a first frame of the video. The system processes, by a machine learning model, the first frame and one or more previous frames of the video that precede the first frame to generate a new frame in which portions of the first frame have been blended into the region from which the depiction of the real-world object has been removed.

Abstract: Methods and systems are disclosed for performing operations for transferring garments from one real-world object to another in real time. The operations comprise receiving a first video that includes a depiction of a first person wearing a first upper-body garment in a first pose and obtaining a second video that includes a depiction of a second person wearing a second upper-body garment in a second pose. A pose of the second person depicted in the second video is modified to match the first pose of the first person depicted in the first video. The operations comprise generating an upper-body segmentation of the second upper-body garment which the second person is wearing in the second video in the modified pose and replacing the first upper-body garment worn by the first person in the first video with the second upper-body garment based on the upper-body segmentation.

Abstract: Aspects of the present disclosure involve a system for presenting AR items. The system performs operations including receiving a video that includes a depiction of one or more real-world objects in a real-world environment and obtaining depth data related to the real-world environment. The operations include generating a three-dimensional (3D) model of the real-world environment based on the video and the depth data and adding an augmented reality (AR) item to the video based on the 3D model of the real-world environment. The operations include determining that the AR item has been placed on a vertical plane of the real-world environment and modifying an orientation of the AR item to correspond to an orientation of the vertical plane.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving an image that includes a depiction of a person wearing a fashion item; generating a segmentation of the fashion item worn by the person depicted in the image; identifying a facial expression of the user depicted in the image; and in response to identifying the facial expression, applying one or more augmented reality elements to the fashion item worn by the person based on the segmentation of the fashion item worn by the person.

Abstract: Aspects of the present disclosure involve a system for presenting augmented reality (AR) items. The system performs operations including receiving a video that includes a depiction of a real-world environment and generating a 3D model of the real-world environment based on the video. The operations include determining, based on the 3D model of the real-world environment, that an AR item has been placed in the video at a particular 3D position and identifying a portion of the 3D model corresponding to the real-world environment currently being displayed on a screen. The operations include determining that the 3D position of the AR item is excluded from the portion of the 3D model currently being displayed on the screen and in response, displaying an indicator that identifies the 3D position of the AR item in the 3D model relative to the portion of the 3D model currently being displayed on a screen.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving an image that includes a depiction of a person wearing a fashion item; generating a segmentation of the fashion item worn by the person depicted in the image; identifying a facial expression of the user depicted in the image; and in response to identifying the facial expression, applying one or more augmented reality elements to the fashion item worn by the person based on the segmentation of the fashion item worn by the person.

Abstract: Methods and systems are disclosed for performing operations for transferring garments from one real-world object to another in real time. The operations comprise receiving a first video that includes a depiction of a first person wearing a first upper-body garment in a first pose and obtaining a second video that includes a depiction of a second person wearing a second upper-body garment in a second pose. A pose of the second person depicted in the second video is modified to match the first pose of the first person depicted in the first video. The operations comprise generating an upper-body segmentation of the second upper-body garment which the second person is wearing in the second video in the modified pose and replacing the first upper-body garment worn by the first person in the first video with the second upper-body garment based on the upper-body segmentation.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving an image that includes a depiction of a person wearing a fashion item; generating a segmentation of the fashion item by the person depicted in the image; receiving voice input associated with the person depicted in the image; in response to receiving the voice input, generating one or more augmented reality elements representing the voice input; and applying the one or more augmented reality elements to the fashion item worn by the person based on the segmentation of the fashion item worn by the person.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a person wearing a fashion item; generating a segmentation of the fashion item worn by the person depicted in the video; applying one or more augmented reality elements to the fashion item worn by the person based on the segmentation of the fashion item worn by the person; detecting a gesture performed by the person in the video; and modifying the one or more augmented reality elements that have been applied to the fashion item worn by the person based on the gesture performed by the person.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving an image that includes a depiction of a person wearing a fashion item; generating a segmentation of the fashion item by the person depicted in the image; receiving voice input associated with the person depicted in the image; in response to receiving the voice input, generating one or more augmented reality elements representing the voice input; and applying the one or more augmented reality elements to the fashion item worn by the person based on the segmentation of the fashion item worn by the person.

Abstract: Methods and systems are disclosed for performing operations for segmenting an object. The operations include receiving an image that includes a depiction of a first object; receiving a first segmentation dataset; applying a first machine learning technique to the first segmentation dataset and the image to estimate a first segmentation of the first object depicted in the image; generating a second segmentation dataset that includes the estimated first segmentation and a correction to the estimated first segmentation of the first object; applying the first machine learning technique to the second segmentation dataset and the image to estimate a second segmentation of the first object depicted in the image; and applying an augmented reality experience to the image based on the estimated second segmentation of the first object.

Abstract: Aspects of the present disclosure involve a system for presenting AR items. The system performs operations including receiving a video that includes a depiction of one or more real-world objects in a real-world environment and obtaining depth information related to the real-world environment; and generating a 3D model of the real-world environment. The operations further include determining 3D placement and orientation for an AR item based on data associated with the AR item and the 3D model of the real-world environment and causing display of a marker in the video that specifies the 3D placement and orientation of the AR item. The operations further include rendering a display of the AR item within the video according to the 3D placement and orientation in response to movement of the marker within the video.

Abstract: Aspects of the present disclosure involve a system for presenting augmented reality (AR) items. The system performs operations including receiving a video that includes a depiction of a real-world environment and generating a 3D model of the real-world environment based on the video. The operations include determining, based on the 3D model of the real-world environment, that an AR item has been placed in the video at a particular 3D position and identifying a portion of the 3D model corresponding to the real-world environment currently being displayed on a screen. The operations include determining that the 3D position of the AR item is excluded from the portion of the 3D model currently being displayed on the screen and in response, displaying an indicator that identifies the 3D position of the AR item in the 3D model relative to the portion of the 3D model currently being displayed on a screen.

Abstract: Aspects of the present disclosure involve a system for presenting AR items. The system performs operations including receiving a video that includes a depiction of one or more real-world objects in a real-world environment and obtaining depth data related to the real-world environment. The operations include generating a three-dimensional (3D) model of the real-world environment based on the video and the depth data and adding an augmented reality (AR) item to the video based on the 3D model of the real-world environment. The operations include determining that the AR item has been placed on a vertical plane of the real-world environment and modifying an orientation of the AR item to correspond to an orientation of the vertical plane.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for performing operations comprising: receiving a video that includes a depiction of a real-world object in a real-world environment; determining a classification for the real-world environment by processing the real-world object depicted in the video; selecting an augmented reality (AR) item based on the classification of the real-world environment and the real-world object depicted in the video; modifying pixels corresponding to the real-world object depicted in the video to generate a modified video that excludes the depiction of the real-world object; and adding the AR item to the modified video at a display position corresponding to the modified pixels.

Abstract: Methods and systems are disclosed for performing operations for transferring motion from one real-world object to another in real-time. The operations comprise receiving a first video that includes a depiction of a first real-world object and extracting an appearance of the first real-world object from the video. The operations comprise obtaining a second video that includes a depiction of a second real-world object and extracting motion of the second real-world object from the second video. The operations comprise applying the motion of the second real-world object extracted from the second video to the appearance of the first real-world object extracted from the first video. The operations comprise generating a third video that includes a depiction of the first real-world object having the appearance of the first real-world object and the motion of the second real-world object.

Abstract: Methods and systems are disclosed for performing operations for transferring garments in a video from one real-world object to another in real time. The operations comprise receiving a first video that includes a depiction of a first person wearing a first garment in a first pose and obtaining a second video that includes a depiction of a second person wearing a second garment in a second pose. The operations comprise modifying a pose of the second person to match the first pose of the first person depicted in the first video. The operations comprise generating a whole-body segmentation of the second garment which the second person is wearing in the second video and changing an appearance of the first person from wearing the first garment to wearing the second garment based on the whole-body segmentation of the second garment which the second person is wearing in the second video.

Abstract: Methods and systems are disclosed for performing operations for transferring garments from one real-world object to another in real time. The operations comprise receiving a first video that includes a depiction of a first person wearing a first upper-body garment in a first pose and obtaining a second video that includes a depiction of a second person wearing a second upper-body garment in a second pose. A pose of the second person depicted in the second video is modified to match the first pose of the first person depicted in the first video. The operations comprise generating an upper-body segmentation of the second upper-body garment which the second person is wearing in the second video in the modified pose and replacing the first upper-body garment worn by the first person in the first video with the second upper-body garment based on the upper-body segmentation.