[NeurIPS 2025 Spotlight] Official implementation of Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
Enhance video understanding and reasoning for spatial intelligence in large language models.
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Spatial-MLLM has 477 stars on GitHub. It has been forked 17 times. Spatial-MLLM is written mainly in Python. It has been in active development since 2025. Spatial-MLLM is available under the MIT license. Its main topics are aigc, llm, multimodal, multimodal-large-language-models.
[NeurIPS 2025 Spotlight] Official implementation of Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
Spatial-MLLM is an open-source project. It is released under the MIT license.
Yes. Spatial-MLLM is free and open source — you can use, modify and self-host it.
Spatial-MLLM is available under the MIT license.
Spatial-MLLM is written mainly in Python.
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