Camera-Agnostic Pruning of 3D Gaussian Splats via Descriptor-Based Beta Evidence

ArXi:2603.21933v1 Announce Type: cross The pruning of 3D Gaussian splats is essential for reducing their complexity to enable efficient storage, transmission, and downstream processing. However, most of the existing pruning strategies depend on camera parameters, rendered images, or view-dependent measures. This dependency becomes a hindrance in emerging camera-agnostic exchange settings, where splats are shared directly as point-based representations (e.g.,.ply). In this paper, we propose a camera-agnostic, one-shot, post-