Abstract: In some implementations, the disclosed systems and methods can create a customized pet avatar by applying artificial intelligence to photographs and videos of a real-world pet. In some implementations, the disclosed systems and methods can geospatially map user-generated content within a VR environment. In some implementations, the disclosed systems and methods can receive user-generated content (e.g., images, videos, text, etc.) about a particular destination, such as a business listing, restaurant, or other location of interest. In some implementations, the disclosed systems and methods can build a selected virtual object of a plurality of virtual objects in an artificial reality world.

Abstract: Aspects of the disclosed technology can determine when a user has made a gesture mapped to an effect and can display the effect on the video. Additional aspects of the disclosed technology can automatically match movements between a source video and a live feed of a user. Yet further aspects of the disclosed technology can customize a video based on a determined focus of the video creator.

Abstract: Aspects of the present disclosure are directed to three-dimensional (3D) video calls where at least some participants are assigned a position in a virtual 3D space. Additional aspects of the present disclosure are directed to an automated effects engine that can A) convert a source still image into a flythrough video; B) produce a transform video that replaces portions of a source video with an alternate visual effect; and/or C) produce a switch video that automatically matches frames between multiple source videos and stiches together the videos at the match points. Further aspects of the present disclosure are directed to a platform for the creation and deployment of automatic video effects that respond to lyric content and lyric timing values for audio associated with a video and/or that respond to beat types and beat timing values for audio associated with a video.