AnchorComplete: Recovering Complete Scene Meshes from Partial Point Clouds
Abstract
AnchorComplete reconstructs complete scene meshes from partial point clouds by combining partial-point conditioning with metric-scale coarse-to-fine generation, improving reconstruction under sparse views.
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.
Community
TL;DR: AnchorComplete turns partial point clouds into complete scene meshes, preserves observed geometry, and scales from individual rooms to large multi-room scenes through metric-scale coarse-to-fine generation.
🎥Project Page: https://wrchen530.github.io/anchor-complete/
📄Paper: https://arxiv.org/abs/2611.03228
This is an automated message from the Librarian Bot. I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
- WorldRecon: Generative Multi-View Mesh Reconstruction for Large-Scale 3D World (2026)
- T3lescope: Arbitrary-Resolution High-Fidelity Generative Surface Reconstruction from Images (2026)
- GATOR: Generative and Agentic 3D Object Reconstruction From Casual Images (2026)
- ScenePlacer: Reformulating Scene-Level Object Pose Estimation as Visibility Field Learning (2026)
- UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space (2026)
- Mira-Scene: Pixel-Aligned Layouts for Generative 3D Scene Reconstruction (2026)
- Tetris3D: 3D Scene Generation With Objects That Fit Together (2026)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout this Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: @librarian-bot recommend
Get this paper in your agent:
hf papers read 2611.03228 Don't have the latest CLI?
curl -LsSf https://hf.co/cli/install.sh | bash Models citing this paper 0
No model linking this paper
Datasets citing this paper 0
No dataset linking this paper
Spaces citing this paper 0
No Space linking this paper
Collections including this paper 0
No Collection including this paper