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arXiv Computer Vision By Pawel Tomasz Pieta, Rasmus Juul Pedersen, Sina Borgi, Jakob Sauer J{\o}rgensen, Jens Wenzel Andreasen, Vedrana Andersen Dahl

FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

Read the original on arXiv Computer Vision →

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.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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