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paper

AnchorComplete: Recovering Complete Scene Meshes from Partial Point Clouds

arXiv ↗
ID
2611.03228
分类
—
首次捕获
2026-11-05
状态
unread
作者
Weirong Chen, Ismail El-Yamany, Ganlin Zhang, Chuanxia Zheng, Andrea Vedaldi, Daniel Cremers
信号
🔥 9

信号历史

  • 2026-11-05HF Daily Papers · 🔥8
  • 2026-11-06HF Daily Papers · 🔥9
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摘要

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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在 GitHub 上写笔记 ↗(新建 content/notes/2611.03228.md,PR 合并后本页自动更新)