autonomousvision/sdfstudio
A unified modular framework for neural implicit surface reconstruction implementing NeRF-based 3D reconstruction methods in PyTorch.
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SDFStudio builds on the nerfstudio project to provide unified implementations of major implicit surface reconstruction methods including UniSurf, VolSDF, NeuS, Neuralangelo, and BakedSDF. It supports various neural scene representations like MLPs, tri-plane and multi-resolution feature grids, and multiple sampling strategies for surface extraction from neural radiance fields. The modular architecture enables easy transfer of ideas between different reconstruction methods.
Frequently asked
- What is autonomousvision/sdfstudio?
- A unified modular framework for neural implicit surface reconstruction implementing NeRF-based 3D reconstruction methods in PyTorch.
- Is sdfstudio open source?
- Yes — autonomousvision/sdfstudio is open source, released under the Apache-2.0 license.
- What language is sdfstudio written in?
- autonomousvision/sdfstudio is primarily written in Python.
- How popular is sdfstudio?
- autonomousvision/sdfstudio has 2.1k stars on GitHub.
- Where can I find sdfstudio?
- autonomousvision/sdfstudio is on GitHub at https://github.com/autonomousvision/sdfstudio.