AnchorGS: Anchoring Gaussian Splatting to Planar Priors for Robust 3D Reconstruction

Gaussian Splatting (GS) has emerged as an efficient and compelling method for novel view synthesis, offering real-time rendering and impressive visual fidelity. However, original GS struggles with accurately capturing the geometry of large, flat, or textureless surfaces, often producing floating artifacts, blurriness, and inconsistent structures. To overcome this fundamental limitation, we introduce AnchorGS, a framework that anchors the optimization process to explicit geometric plane priors. AnchorGS operates in a multi-phase hierarchical manner, progressively refining Gaussians using a suite of context-aware regularization terms: plane attraction, normal alignment, and explicit thinness constraints. Furthermore, it incorporates a specialized densification strategy to systematically fill holes and refine the Gaussian distribution on identified planar surfaces. Experiments demonstrate that AnchorGS significantly enhances reconstruction quality, yielding sharper and more geometrically accurate planar surfaces while maintaining real-time rendering performance. Our method effectively mitigates common artifacts in scenes containing prominent planar structures, paving the way for more geometrically robust scene representations.