SOURCE-LINKED INTELLIGENCE
Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
Sparse-view X-ray 3D reconstruction is essential for reducing radiation exposure, but recovering a density field from a handful of X-ray projections is severely ill-posed. Recently, 3D Gaussian Splatting has achieved state-of-the-art performance in sparse-view reconstruction by representing the volume using explicit, optimized primitives, but it requires dozens of projected views. With fewer views, reconstruction quality degrades severely since the explicit primitives are optimized freely without any anatomical information. Anatomical structures, in contrast, share similar geometry and density
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T16:05:09.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.