AI RESEARCH
InstantSfM: Towards GPU-Native SfM for the Deep Learning Era
arXiv CS.CV
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ArXi:2510.13310v2 Announce Type: replace Structure-from-Motion (SfM) is a fundamental technique for recovering camera poses and scene structure from multi-view imagery, serving as a critical upstream component for applications ranging from 3D reconstruction to modern neural scene representations such as 3D Gaussian Splatting. However, most mature SfM systems remain CPU-centric and built upon traditional optimization toolchains, creating a growing mismatch with modern GPU-based, learning-driven pipelines and limiting scalability in large-scale scenes.