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SpatialLM
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SpatialLM

[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling

by manycore-research · GitHub
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Train and fine-tune large language models for understanding and modeling indoor spaces.

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4.7k4.6k
2026-07-122026-08-31
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[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling

SpatialLM has 4.7k stars on GitHub. It has been forked 400 times. SpatialLM is written mainly in Python. It has been in active development since 2025. Its main topics are mllm, point-clouds, scene-understanding, spatial-intelligence.

Frequently asked questions

What is SpatialLM?

[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling

Is SpatialLM open source?

SpatialLM is an open-source project.

Is SpatialLM free?

Yes. SpatialLM is free and open source — you can use, modify and self-host it.

What language is SpatialLM written in?

SpatialLM is written mainly in Python.

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