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arXiv · 2611.03228

AnchorComplete: Recovering Complete Scene Meshes from Partial Point Clouds

Weirong Chen·Ismail El-Yamany·Ganlin Zhang·Chuanxia Zheng·Andrea Vedaldi·Daniel Cremers
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Abstract

Most image-based 3D reconstructors primarily recover visible surfaces, producing partial point clouds with large holes and leaving unobserved geometry unresolved. To address this limitation, we introduce AnchorComplete, a framework that reconstructs complete scene meshes from partial point clouds while preserving observed geometry and supporting scenes of varying scales. Building on TRELLIS.2, our method combines partial-point conditioning, which integrates global scene tokens with local spatial evidence to anchor generation to the input, and metric-scale coarse-to-fine generation, which progressively refines scene geometry within fixed-size windows while maintaining global structural consistency. Experiments on Replica and SCRREAM demonstrate that AnchorComplete consistently outperforms strong baselines in complete-scene reconstruction, particularly under sparse-view settings.

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Weirong Chen, Ismail El-Yamany, Ganlin Zhang, Chuanxia Zheng, Andrea Vedaldi, Daniel Cremers. 2026-11-02. AnchorComplete: Recovering Complete Scene Meshes from Partial Point Clouds. https://arxiv.org/abs/2611.03228

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