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nice-slam
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nice-slam

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

by cvg · GitHub
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3d-reconstructiondeep-learningimplicit-functionsApache-2.0PythonSelf-hostable
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Generate accurate 3D models and track camera movements in large indoor spaces.

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1 5911 590
2026-07-202026-08-31
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[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

nice-slam has 1.6k stars on GitHub. It has been forked 211 times. nice-slam is written mainly in Python. It has been in active development since 2022. nice-slam is available under the Apache-2.0 license. Its main topics are 3d-reconstruction, deep-learning, implicit-functions, localization.

Frequently asked questions

What is nice-slam?

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Is nice-slam open source?

nice-slam is an open-source project. It is released under the Apache-2.0 license.

Is nice-slam free?

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

What license does nice-slam use?

nice-slam is available under the Apache-2.0 license.

What language is nice-slam written in?

nice-slam is written mainly in Python.

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