INSTANTIATING OBJECTS IN A VIRTUAL SPACE USING MACHINE LEARNING

Abstract

Techniques for instantiating objects in a virtual space are described herein. For example, the techniques may include generating recommended furniture layouts in online games. The game (e.g., an online game) may receive a request to generate a furnished space. The game may identify the current configuration of the space to furnish (e.g., identify existing furniture, door(s), aperture(s), dimension(s) of the space and/or furniture, etc.). Further, the game may receive criteria that describe how to furnish the space (e.g., preferred furniture style, player budget(s), furniture priority, rule(s), etc.). The game may identify characteristics (e.g., furniture types, furniture style, etc.) of other spaces that are proximate to the space to furnish. The game may generate the recommended furnished space by inputting the current configuration of the space, the criteria, and/or the characteristics of the proximate space(s) into a machine learned model which may output a recommended furnished space.

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