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 comprising: receiving a monocular image that includes a depiction of a person wearing an article of clothing; generating a segmentation of the article of clothing worn by the person in the monocular image; obtaining one or more audio-track related augmented reality elements; and applying the one or more audio-track related augmented reality elements to the article of clothing worn by the person based on the segmentation of the article of clothing worn by the person.

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 comprising: receiving a monocular image that includes a depiction of a person wearing an article of clothing; generating a segmentation of the article of clothing worn by the person in the monocular image; obtaining one or more audio-track related augmented reality elements; and applying the one or more audio-track related augmented reality elements to the article of clothing worn by the person based on the segmentation of the article of clothing worn by the person.

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 generating high resolution images using lower resolution machine learning models. The system receives one or more images depicting a real-world object in a real-world scene and receives a source image depicting a fashion item comprising a target. The system processes, using one or more machine learning models, the one or more images together with the source image to generate a new image depicting the real-world object wearing the fashion item depicted in the source image, the new image having a lower image resolution than an image resolution of the source image. The system selectively blends pixels of the new image with pixels of the source image to generate a virtual extended reality (XR) experience.

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: Methods and systems are disclosed for performing operations for recoloring a fashion item. The operations include receiving an image that includes a depiction of a person wearing a fashion item. The operations include generating a segmentation of the fashion item worn by the person depicted in the image. The operations include extracting a portion of the image corresponding to the segmentation of the fashion item. The operations include estimating lights and shadows being cast on the fashion item in the portion of the image. The operations include applying one or more augmented reality elements to the fashion item in the image based on the lights and shadows being cast on the fashion item.

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 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: Aspects of the present disclosure involve a system for providing a browsing-based augmented reality (AR) try-on experience. The system displays a graphical user interface (GUI) comprising a set of fashion items. The system receives a real-time video feed from a camera of the device, the real-time video feed depicting a person. The system retrieves a first AR fashion item corresponding to a first fashion item in the set of fashion items included in the GUI. The system modifies the real-time video feed based on application of the first AR fashion item to the depiction of the person in the real-time video feed. The system presents the modified real-time video feed together with the GUI comprising the set of fashion items.

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: Aspects of the present disclosure involve a system for providing a footwear mirror experience. The system accesses a video stream captured by a camera directed at feet of users. The system detects a depiction of one or more feet of a user in the video stream captured by the camera. The system, in response to detecting the one or more feet in the video stream captured by the camera, activates a display screen that is positioned at an eye-level of the user and presents the video stream including the depiction of the one or more feet of the user on the display screen.

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 automatically zooming in on objects in an image. The system accesses a video comprising a frame depicting a person and detects a fashion item being worn by the person in the frame of the video. The system, in response to detecting the fashion item being worn by the person, extracts, from the frame, a portion comprising a depiction of the fashion item being worn by the person. The system generates a focus image of the fashion item using the portion extracted from the frame and presents the focus image of the fashion item together with the video comprising the frame depicting the person.

Abstract: Aspects of the present disclosure involve a system for synthetically generating a view of an object to present one or more AR fashion items in an image. The system accesses a first image depicting a first portion of a body of a person from a first camera view. The system detects a fashion item in the first image that is being worn by the person in the first image, the fashion item being depicted in the first image from the first camera view. The system generates an augmented reality (AR) item that visually resembles the fashion item from the second camera view and modifies the second image with the AR item to present a synthetic view of the second portion of the body of the person wearing the AR item corresponding to the fashion item.

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.