ガウシアン物体彫刻: 表面補完を伴う物体合成的ガウシアンスプラッティング
Gaussian Object Carver: Object-Compositional Gaussian Splatting with surfaces completion
3Dガウシアンスプラッティングと単眼幾何事前分布を組み合わせ、遮蔽領域の表面をゼロショットで補完しながら物体単位で編集可能な3Dシーン再構成を実現した研究。
著者: Liu Liu, Xinjie Wang, Jiaxiong Qiu, Tianwei Lin, Xiaolin Zhou, Zhizhong Su
分類: cs.CV, cs.RO
原文アブストラクト
3D scene reconstruction is a foundational problem in computer vision. Despite recent advancements in Neural Implicit Representations (NIR), existing methods often lack editability and compositional flexibility, limiting their use in scenarios requiring high interactivity and object-level manipulation. In this paper, we introduce the Gaussian Object Carver (GOC), a novel, efficient, and scalable framework for object-compositional 3D scene reconstruction. GOC leverages 3D Gaussian Splatting (GS), enriched with monocular geometry priors and multi-view geometry regularization, to achieve high-quality and flexible reconstruction. Furthermore, we propose a zero-shot Object Surface Completion (OSC) model, which uses 3D priors from 3d object data to reconstruct unobserved surfaces, ensuring object completeness even in occluded areas. Experimental results demonstrate that GOC improves reconstruction efficiency and geometric fidelity. It holds promise for advancing the practical application of digital twins in embodied AI, AR/VR, and interactive simulation environments.
