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 introd
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…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
AnchorComplete: Recovering Complete Scene Meshes from Partial Point Clouds was first seen on Hugging Face · Daily papers on Nov 5, 2026. Since then it has appeared in 15 checks on 2 different days. Its best position was #18 of 30, reached on Nov 5, 15:28 UTC. It dropped off the list after Nov 6, 09:28 UTC.
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#18 on Hugging Face · Daily papers, on Nov 5, 15:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 5, 2026 and has been on the list on 2 days (15 checks) since.