3D Building Generation in Minecraft via Large Language Models
Not on the map. Why?
Abstract (arXiv)
Recently, procedural content generation has exhibited considerable advancements in the domain of 2D game level generation such as Super Mario Bros. and Sokoban through large language models (LLMs). To further validate the capabilities of LLMs, this paper explores how LLMs contribute to the generation of 3D buildings in a sandbox game, Minecraft. We propose a Text to Building in Minecraft (T2BM) model, which involves refining prompts, decoding interlayer representation and repairing. Facade, indoor scene and functional blocks like doors are supported in the generation. Experiments are conducted to evaluate the completeness and satisfaction of buildings generated via LLMs. It shows that LLMs hold significant potential for 3D building generation. Given appropriate prompts, LLMs can generate correct buildings in Minecraft with complete structures and incorporate specific building blocks such as windows and beds, meeting the specified requirements of human users.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 13 Jun 2024.
Builds on
16 of 22 references.
References · 16
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4 more
- 2023Games for Artificial Intelligence Research: A Review and Perspectivescited by 14
- 2019Organic Building Generation in Minecraftcited by 10
- 2022Open-Ended Evolution for Minecraft Building Generationcited by 9
- 2023Generating Redstone Style Cities in Minecraftcited by 2
Built on by
Citing papers per year: 2024: 2; 2025: 1.
3 papers.