Abstract: The present technology pertains to increasing diversity of simulated autonomous vehicle (AV) environment scenes to be used for training machine learning (ML) models. Such an increase in diversity may be achieved by selecting objects from simulated AV environemnt scenes, and determining whether to add attachments to attachment points of the objects based on probabilities associated with the attachment points. When an attachment is to be added to an attachment point, the particular attachment is selected from among a set of compatible attachments.

Abstract: The subject disclosure relates to techniques for integrating synthetic plants into a virtual scene. A process of the disclosed technology can include receiving a digital asset comprising synthetic foliage, processing the digital asset to modify at least one parameter associated with the synthetic foliage to generate a modified digital asset, acquiring synthetic sensor data corresponding with the modified digital asset, and calculating a classification score for the modified digital asset based on the synthetic sensor data.

Abstract: The subject disclosure relates to techniques for generating localized atmospheric phenomena in a simulated environment. A process of the disclosed technology can include generating a plurality of volumetric sequences, generating a corresponding plurality of sequence slices for each of the plurality of volumetric sequences, and compiling the plurality of volumetric sequences to generate a synthetic localized atmospheric event.

Abstract: A system for networked immersive computing (IC) experience playback and review that allows reviewers to experience a multi-user, fully synchronized environment. The system provides tools synchronized and distributed playback control, laser pointers, voice communication, virtual avatars, and replicated virtually-drawn brush strokes. The system also creates actionable media, such as networked strokes that can be exported for use in third party content creation tools, allowing for seamless real world follow-through on notes taken in the virtual world or virtual environment.