caiyuanhao1998/SAX-NeRF
A toolbox implementing NeRF and 3D Gaussian Splatting methods for sparse-view X-ray 3D reconstruction and CT imaging.
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SAX-NeRF provides a research toolbox for X-ray 3D reconstruction supporting two tasks: novel view synthesis and computed tomography reconstruction. The repository implements 11 state-of-the-art methods including NeRF-based, 3DGS-based, optimization-based, and analytical approaches. It applies deep learning neural rendering techniques to medical imaging problems.
Frequently asked
- What is caiyuanhao1998/SAX-NeRF?
- A toolbox implementing NeRF and 3D Gaussian Splatting methods for sparse-view X-ray 3D reconstruction and CT imaging.
- Is SAX-NeRF open source?
- Yes — caiyuanhao1998/SAX-NeRF is open source, released under the MIT license.
- What language is SAX-NeRF written in?
- caiyuanhao1998/SAX-NeRF is primarily written in Python.
- How popular is SAX-NeRF?
- caiyuanhao1998/SAX-NeRF has 803 stars on GitHub.
- Where can I find SAX-NeRF?
- caiyuanhao1998/SAX-NeRF is on GitHub at https://github.com/caiyuanhao1998/SAX-NeRF.