Snap Inc.

Avihay Assouline

Itamar Berger

Gal Dudovitch

Matan Zohar

Gal Sasson

Ma'ayan Mishin Shuvi

Peleg Harel

Nir Malbin

Jean Luo

Piers George Cowburn

Yuncheng Li

Riza Alp Guler

Iason Kokkinos

Himmy Tam

Kai Zhou

Haoyang Wang

Frank Lu

Antonios Kakolyris

Shani Ben Baruch

Hanna Davidovich

Laura Rosalia Luidolt

Jonathan Heimann

Mohammad Rami Koujan

Methods and systems are disclosed for generating mirrored 3D assets for an extended reality (XR) experience. The system receives a three-dimensional (3D) object comprising a target and analyzes the 3D object using one or more machine learning models to generate data associated with a mirrored version of the target of the 3D object. The system applies the mirrored version of the target to a mirrored version of the 3D object using the generated data and generates a new 3D object comprising the mirrored version of the 3D object and the mirrored version of the target.

Mirroring 3D assets for virtual experiences

Methods and systems are disclosed for generating an extended reality (XR) try-on experience based on an image produced by a diffusion model. The system receives an image depicting a real-world object and generates a prompt comprising a textual description of a fashion item. The system analyzes the image and the textual description of the fashion item using a generative machine learning model to generate an artificial image that depicts an artificial object that resembles the real-world object wearing an artificial fashion item matching the textual description of the fashion item. The system identifies an object comprising a real-world product image that matches visual attributes of the artificial fashion item and replaces the artificial fashion item in the artificial image with the object to generate an output image.

Product image generation based on diffusion model

Methods and systems are disclosed for transferring garments from one real-world object to another in real time using body landmarks. The system receives a first image that includes a depiction of a first person wearing a fashion item in a first pose. The system obtains a second image that includes a depiction of a second person in a second pose and generates a first set of body landmarks corresponding the first person in the first pose and a second set of body landmarks corresponding the second person wearing in the first pose. The system computes a deviation between the first set of body landmarks and the second set of body landmarks. The system generates a new image that depicts the second person wearing the fashion item worn by the first person based on the deviation between the first set of body landmarks and the second set of body landmarks.

Real-time try-on using body landmarks

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 transferring garments from a real-world object to a virtual object. The system receives, by a client device, an image that includes a depiction of a real-world object having a fashion item in a real-world environment. The system accesses a three-dimensional (3D) avatar model of a human and generates a graphic item corresponding to the fashion item being worn by the real-world object depicted in the image. The system modifies the 3D avatar model of the human based on the graphic item and presents the 3D avatar model that has been modified based on the graphic item within a view of the real-world environment on the client device.

Real-time fashion item transfer system

Methods and systems are disclosed for performing operations comprising: receiving an image that includes a depiction of a face of a user; generating a plurality of landmarks of the face based on the received image; removing a set of interfering landmarks from the plurality of landmarks resulting in a remaining set of landmarks of the plurality of landmarks; obtaining a depth map for the face of the user; and computing a real-world scale of the face of the user based on the depth map and the remaining set of landmarks.

True size eyewear in real time

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 one or more objects in a room within a home; determining a room classification for the room by processing the one or more objects depicted in the video; selecting one or more augmented reality items available for purchase based on the room classification and the one or more objects depicted in the video; and generating, for display within the video, the one or more augmented reality items that have been selected at a display position within the video corresponding to the one or more objects depicted in the video.

Home based augmented reality shopping

Aspects of the present disclosure involve a system for providing virtual experiences. The system accesses, by a messaging application, an image depicting a person. The system generates, by the messaging application, a three-dimensional (3D) avatar based on the person depicted in the image. The system receives input that selects a pose for the 3D avatar and one or more fashion items to be worn by the 3D avatar and places, by the messaging application, the 3D avatar in the selected pose and wearing the one or more fashion items in an augmented reality (AR) experience.

Applying animated 3D avatar in AR experiences

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

Aspects of the present disclosure involve a system for an augmented reality (AR) try-on experience with lighting adjustment. The system accesses an image that depicts a real-world person. The system retrieves an AR fashion item. The system applies the image and the AR fashion item to a machine learning model to estimate a lighting adjustment for the AR fashion item based on lighting properties of the real-world person depicted in the image, the machine learning model trained to match lighting properties of images depicting real-world objects to lighting properties of AR objects and vice versa. The system combines the AR fashion item with the image that depicts the real-world person based on the estimated lighting adjustment to generate a modified image.

Augmented reality experience with lighting adjustment

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for performing operations comprising: receiving a video that depicts a person; tracking three-dimensional (3D) movement of the person within the video using a 3D reference point; computing a 3D position for placement of an augmented reality item relative to the 3D reference point; causing to be displayed the augmented reality item within the video at the 3D position; and updating the 3D position of the augmented reality item in the video as the 3D reference point changes based on the 3D movement of the person.

Side-by-side character animation from realtime 3D body motion capture

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for performing operations comprising: receiving, by a client device associated with a first user, a communication from a second user; retrieving, from the communication, a movement vector representing three-dimensional (3D) movement of a set of skeletal joints of the second user; receiving, by the client device associated with the first user, input that selects a 3D avatar; and animating, based on the movement vector, the 3D avatar to mimic the 3D movement of the set of skeletal joints of the second user.

Body animation sharing and remixing

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 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

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for detecting a pose of a user. The program and method include operations comprising receiving a monocular image that includes a depiction of a body of a user; detecting a plurality of skeletal joints of the body based on the monocular image; accessing a video feed comprising a plurality of monocular images received prior to the monocular image; filtering, using the video feed, the plurality of skeletal joints of the body detected based on the monocular image; and determining a pose represented by the body depicted in the monocular image based on the filtered plurality of skeletal joints of the body.

Growing community of inventors

Tel Aviv, Israel

Avihay Assouline