[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling
Train and fine-tune large language models for understanding and modeling indoor spaces.
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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.
[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling
SpatialLM is an open-source project.
Yes. SpatialLM is free and open source — you can use, modify and self-host it.
SpatialLM is written mainly in Python.
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