Abstract: The disclosed computer-implemented method may include systems and methods for generating and providing interactive sessions and interactive session captures. For example, upon completion of an interactive session, systems and methods described herein can generate an interactive session playback interface associated with an interactive session capture that includes various interactive features. During playback of the interactive session capture, the systems and methods described herein can update features of the interactive session playback interface to mirror interactions that occurred in the original interactive session, as well as provide additional interactive features associated with the interactive session capture. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: In one embodiment, a computing system captures, using a camera, a number of frames of a live scene. The system generates preview frames for an augmented scene by applying one or more augmented reality effects to the frames of the live scene. Each preview frame is based on a low-resolution image of the live scene. The low-resolution image has a lower resolution than a maximum resolution of the camera. The system stores at least one preview frame with the augmented reality effects into a storage of the computing device. The system displays a live preview of the augmented scene using the preview frames. The system receives a request from a user to capture an image of the augmented scene while the live preview is being displayed. The system retrieves, the at least one preview frame stored in the storage and outputs the retrieved at least one preview frame.

Abstract: An online system customizes video conversations between users of the online system by providing graphics that are likely to interest the users. The online system may present composite views overlaying selected graphics on a video stream, which may be part of an augmented reality (AR) environment. The graphics include, for example, background graphics, masks, props, visual or particular effects, frames or borders, etc. The online system may use a machine learning model to predict whether a user is likely to select or interact with a particular graphic. The online system can also filter or rank graphics according to user affinities or user connections on the online system. Users may be encouraged to interact with the graphics that are customized to their specific interests, which can promote an engaging video conversation or AR experience.

Abstract: In one embodiment, a method for presenting an augmented reality effect may include receiving, by a computing system, a request for downloading an augmented reality effect, which may include a plurality of elements. The system may select a first subset of elements among the plurality of elements based on one or more predefined rules. The first subset of elements may be transmitted to the client device for display. The system may transmit a remaining subset of elements of the plurality of elements to the client device for display after the transmitting of the first subset of elements is complete. The augmented reality effect may be configured to launch and display at least one element of the first subset of elements prior to the remaining subset of elements is received by the client device.

Abstract: An online system customizes video conversations between users of the online system by providing graphics that are likely to interest the users. The online system may present composite views overlaying selected graphics on a video stream, which may be part of an augmented reality (AR) environment. The graphics include, for example, background graphics, masks, props, visual or particular effects, frames or borders, etc. The online system may use a machine learning model to predict whether a user is likely to select or interact with a particular graphic. The online system can also filter or rank graphics according to user affinities or user connections on the online system. Users may be encouraged to interact with the graphics that are customized to their specific interests, which can promote an engaging video conversation or AR experience.

Abstract: In one embodiment, a computing system captures, using a camera, a number of frames of a live scene. The system generates preview frames for an augmented scene by applying one or more augmented reality effects to the frames of the live scene. Each preview frame is based on a low-resolution image of the live scene. The low-resolution image has a lower resolution than a maximum resolution of the camera. The system stores at least one preview frame with the augmented reality effects into a storage of the computing device. The system displays a live preview of the augmented scene using the preview frames. The system receives a request from a user to capture an image of the augmented scene while the live preview is being displayed. The system retrieves, the at least one preview frame stored in the storage and outputs the retrieved at least one preview frame.

Abstract: In one embodiment, a method for presenting an augmented reality effect may include receiving, by a computing system, a request for downloading an augmented reality effect, which may include a plurality of elements. The system may select a first subset of elements among the plurality of elements based on one or more predefined rules. The first subset of elements may be transmitted to the client device for display. The system may transmit a remaining subset of elements of the plurality of elements to the client device for display after the transmitting of the first subset of elements is complete. The augmented reality effect may be configured to launch and display at least one element of the first subset of elements prior to the remaining subset of elements is received by the client device.

Abstract: In one embodiment, a method for distributing an augmented reality (AR) effect may include ranking, by a computing system, a plurality of client devices based on a device capability, where a higher ranking may represent relatively better device capability. The system may identify a first subset of client devices having a first particular ranking. An AR effect may be transmitted to the first subset of client devices. The system may determine a performance score for the AR effect among the first subset of client devices. The performance score may be based on one or more performance parameters associated with the AR effect running on the first subset of client devices. The system may transmit the AR effect to a second subset of client devices when the performance score of the AR effect among the first subset of client devices satisfies a predefined threshold.

Abstract: An online system customizes video conversations between users of the online system by providing graphics that are likely to interest the users. The online system may present composite views overlaying selected graphics on a video stream, which may be part of an augmented reality (AR) environment. The graphics include, for example, background graphics, masks, props, visual or particular effects, frames or borders, etc. The online system may use a machine learning model to predict whether a user is likely to select or interact with a particular graphic. The online system can also filter or rank graphics according to user affinities or user connections on the online system. Users may be encouraged to interact with the graphics that are customized to their specific interests, which can promote an engaging video conversation or AR experience.