SpecGuard: A Camera-Manifold Gaussian Atlas for Radiance Field Reconstruction

Radiance field reconstruction seeks to recover a renderable 3D scene from multi-view images. Monocular video captures changing views of scene structure and reflections, requiring a representation that preserves local detail while adapting to view-dependent appearance. We address this challenge with , a camera-manifold Gaussian atlas that combines scaffold-seeded local submaps with pose-supported soft composition. Given camera poses, a Gaussian scaffold seeds trajectory-local Gaussian submaps, each optimized for its local viewing distribution. To render across submaps, pose-supported soft composition suppresses submap switching artifacts, while rasterized opacity adjusts contributions according to ray-wise coverage. To reduce the storage overhead of overlapping submaps, shared low-rank bases and sparse residuals compress their non-DC spherical-harmonic coefficients. Full-session evaluations demonstrate improved aggregate reconstruction fidelity and reduced submap switching artifacts. The resulting representation reduces map storage with a small fidelity loss while supporting real-time rendering.