/SAX-NeRF

Structure-Aware Sparse-View X-ray 3D Reconstruction (CVPR 2024)

MIT LicenseMIT

 

arXiv

PWC

PWC

A Toolbox for Sparse-View X-ray 3D Reconstruction

   

 

News

  • 2024.02.26 : Our paper has been accepted by CVPR 2024. Code and pre-trained models will be released to the public before the start date of CVPR 2024 (2024.06.19). Stay tuned! 🎉 🎊
  • 2023.11.21 : The benchmark of X3D at the paper-with-code website has been set up. You are welcome to make a comparison. 🚀
  • 2023.11.21 : Our paper is on arxiv now. We will develop this repo into a baseline for X-ray novel view synthesis and CT reconstruction. All code, models, data, and training logs will be released. 💫

Performance

Novel View Synthesis

results1

results2

CT Reconstruction

results3

results4

This repo will support 8 state-of-the-art algorithms including 5 NeRF-based methods, 2 optimization-based methods, and 1 analytical method for sparse-view X-ray 3D reconstruction.

Supported algorithms: