Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis

arXiv:2403.04116v1 Announce Type: cross
Abstract: X-ray is widely applied for transmission imaging due to its stronger penetration than natural light. When rendering novel view X-ray projections, existing methods mainly based on NeRF suffer from long training time and slow inference speed. In this paper, we propose a 3D Gaussian splatting-based framework, namely X-Gaussian, for X-ray novel view synthesis. Firstly, we redesign a radiative Gaussian point cloud model inspired by the isotropic nature of X-ray imaging. Our model excludes the influence …

arxiv cs.cv eess.iv novel ray synthesis type view x-ray