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SHINE_mapping
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SHINE_mapping

🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)

by PRBonn · GitHub
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3d-mappingimplicit-neural-representationroboticsMITPython
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Map large outdoor areas accurately using advanced 3D mapping techniques that save memory.

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2026-07-202026-08-31
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🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)

SHINE_mapping has 489 stars on GitHub. It has been forked 34 times. SHINE_mapping is written mainly in Python. It has been in active development since 2022. SHINE_mapping is available under the MIT license. Its main topics are 3d-mapping, implicit-neural-representation, robotics.

Frequently asked questions

What is SHINE_mapping?

🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)

Is SHINE_mapping open source?

SHINE_mapping is an open-source project. It is released under the MIT license.

Is SHINE_mapping free?

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

What license does SHINE_mapping use?

SHINE_mapping is available under the MIT license.

What language is SHINE_mapping written in?

SHINE_mapping is written mainly in Python.

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