Robust Gaussian Splatting

arXiv:2404.04211v1 Announce Type: new
Abstract: In this paper, we address common error sources for 3D Gaussian Splatting (3DGS) including blur, imperfect camera poses, and color inconsistencies, with the goal of improving its robustness for practical applications like reconstructions from handheld phone captures. Our main contribution involves modeling motion blur as a Gaussian distribution over camera poses, allowing us to address both camera pose refinement and motion blur correction in a unified way. Additionally, we propose mechanisms for defocus blur compensation …

abstract applications arxiv color cs.cv distribution error improving modeling paper phone practical robust robustness type