Papers by Gangyi Ding
AutoUE: Automated Generation of 3D Games in Unreal Engine via Multi-Agent Systems (2026.findings-acl)
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| Challenge: | Recent advances in Large Language Models (LLMs) and generative models have motivated studies on automated game generation from natural language descriptions. |
| Approach: | They propose a novel multi-agent system, AutoUE, which coordinates multiple agents to end-to-end generate 3D games, covering model retrieval, scene generation, gameplay and interaction code synthesis, and automated game testing for evaluation. |
| Outcome: | The proposed system covers model retrieval, scene generation, gameplay and interaction code synthesis, and automated game testing for evaluation. |