Snap Inc.

Gal Sasson

Itamar Berger

Gal Dudovitch

Matan Zohar

Ma'ayan Mishin Shuvi

Avihay Assouline

Peleg Harel

Nir Malbin

Shani Ben Baruch

Omri Berg

Methods and systems are disclosed for performing operations for applying augmented reality elements to 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; estimating an angle of each pixel in the portion of the image relative to a camera used to capture the image. The operations include applying one or more augmented reality elements to the fashion item in the image based on the estimated angle of each pixel in the portion of the image relative to the camera used to capture the image.

Body normal network light and rendering control

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.

Synthetic view for try-on experience

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.

3D upper garment tracking

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.

Method, system, and medium for augmented reality product recommendations

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.

Controlling interactive fashion based on voice

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.

Controlling interactive fashion based on facial expressions

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.

AR position and orientation along a plane

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.

Real-time garment exchange

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.

Interactive fashion with music AR

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.

Real-time motion and appearance transfer

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.

Interactively defining an object segmentation

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.

Light and rendering of garments

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.

Real-time machine learning based in-painting

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.

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Kibbutz Ayyelet Hashahar, Israel

Gal Sasson