AnchorComplete: Recovering Complete Scene Meshes from Partial Point Clouds
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.
Authors
- Andrea Vedaldi (ORCID: https://orcid.org/0000-0003-1374-2858)
- Chuanxia Zheng (ORCID: https://orcid.org/0000-0002-3584-9640)
- Ismail El-Yamany
- Daniel Cremers (ORCID: https://orcid.org/0000-0002-3079-7984)
- Ganlin Zhang (ORCID: https://orcid.org/0009-0001-6089-8225)
- Weirong Chen
Publication Details
- Journal
- arXiv (Cornell University)
- Published
- 2026-11-02
- DOI
- https://doi.org/10.48550/arxiv.2611.03228
- Primary Topic
- 3D Shape Modeling and Analysis
- Type
- preprint