{"id":910752,"date":"2023-01-03T12:54:18","date_gmt":"2023-01-03T20:54:18","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2024-05-01T15:31:19","modified_gmt":"2024-05-01T22:31:19","slug":"surreal-vr-pong-llm-approach-to-game-design","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/surreal-vr-pong-llm-approach-to-game-design\/","title":{"rendered":"Surreal VR Pong: LLM approach to Game Design"},"content":{"rendered":"

The increase in complexity from 2D to 3D game design makes it fascinating to study from a computational creativity perspective. Generating images given text descriptions using models like DALL-E has recently increased in popularity. However, these models are limited to generating 2-dimensional outputs. While outputs of these models can be used to stylize 3d objects with variable textures, they cannot produce mesh-level interactions. We introduce Codex VR Pong as a demonstration of controlled non-deterministic game mechanics leveraging generative models. We are proposing that prompt-based creation can become part of gameplay rather than just part of game development.<\/p>\n","protected":false},"excerpt":{"rendered":"

The increase in complexity from 2D to 3D game design makes it fascinating to study from a computational creativity perspective. Generating images given text descriptions using models like DALL-E has recently increased in popularity. However, these models are limited to generating 2-dimensional outputs. While outputs of these models can be used to stylize 3d objects 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