Hugging Face Trending Papers
Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
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arXiv Computer Vision
Sep 10
Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
arXiv:2609.10376v1 Announce Type: new Abstract: 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...
arXiv Computer Vision
Sep 22
LINGO: Latent Initialization and Gradient Optimization for Sparse-view X-ray Novel View Synthesis and CT Reconstruction with 3D Gaussian Splatting
arXiv:2609.22849v1 Announce Type: new Abstract: In novel view synthesis and Computed Tomography (CT) reconstruction with sparse-view X-ray imaging, insufficient angular coverage leads to structural a...
Hugging Face Trending Papers
Jul 2
X-Splat: Gaussian Splatting for 3D CBCT Generation from Single Panoramic Radiograph
Generating a 3D dental volume from a single panoramic radiograph (PXR) could provide a low-radiation alternative to Cone-Beam Computed Tomography (CBCT), but the problem is highly underdetermined: panoramic acquisition integrates 3D attenuation along curved X-ray paths into a 2D image, leaving depth-resolved anatomy unobserved. Existing implicit and generative approaches often produce oversmoothed geometry or anatomically inconsistent hallucinations, lacking geometry-driven supervision and relying on smooth representations unable to precisely localize sharp anatomical boundaries.
arXiv Computer Vision
Aug 25
FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting
FaCT-GS is a new framework that accelerates Gaussian Splatting (GS) for X‑ray Computed Tomography (CT) reconstruction. By optimizing voxelization and rasterization pipelines, it achieves speeds more than four times faster than the current state‑of‑the‑art GS methods on 512×512 projections and over thirteen times faster on 2k projections. The improved voxelization also allows quick fitting of Gaussians to existing volumes, providing a compressed representation or a warm‑start prior for reconstruction.
arXiv Computer Vision
Oct 19
X-Splat: Unified Gaussian Splatting for Joint RGB and X-ray 3D Reconstruction
X‑Splat introduces a unified Gaussian splatting framework that jointly reconstructs RGB and X‑ray 3D scenes. By sharing a single set of geometric parameters across modalities and adding appearance attributes only to surface‑proximal primitives, the method avoids redundant geometry and alignment artifacts. Cross‑modal registration is achieved through clean multi‑view stereo and X‑ray geometric proxies, and a surface‑depth consistency loss guides RGB reconstruction, resulting in robust alignment, higher RGB rendering quality, and a more compact representation compared to separate models.
Hugging Face Trending Papers
Jun 21
Projection-Volume Fidelity Divergence: Diagnosing and Controlling Optimization Drift in Sparse-View 3D Gaussian Tomography
Sparse-view computed tomography is a severely ill-posed inverse problem, where recent 3D Gaussian Splatting methods offer an efficient explicit representation for tomographic reconstruction. However, we find that projection-domain optimization can be misleading in this setting: the rendered projections may continue to improve while the reconstructed volume deteriorates.