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Preprint Sep 2026

ADELE - Adaptive Delaunay Grids for High-Fidelity Mesh-Native Reconstruction

Meshes remain the most practical representation for geometry reasoning and integration into graphics pipelines, yet existing reconstruction methods struggle to produce high-quality meshes. Most state-of-the-art approaches initially learn an intermediate representation (NeRF/3DGS) and treat mesh extraction as a post-pro...

Johannes Weidenfeller, Shaofei Wang, P. Fürnstahl et al. · 0 citations
Preprint Sep 2026

MV-dVRK: A Multi-Viewpoint Benchmark for Spatial Surgical Perception

Large-scale training and refined optimization techniques have greatly improved sparse multi-view 3D reconstruction. Despite their relevance to surgery, such methods have never before been rigorously evaluated on real endoscopic images. Current clinical telerobots deploy a single stereo camera inside the patient, making...

Guido Caccianiga, S. Prokudin, Yutong Chen et al. · 0 citations
Preprint Sep 2026

TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views

This work introduces TAPVid-MV (Tracking Any Point in Video across Multiple Views), the first benchmark for multi-view 3D point tracking, and identifies geometry recovery as a major bottleneck for accurate 3D point tracking.

Skanda Koppula, Frano Rajic, Abdullah Faiz Ur Rahman et al. · 1 citation

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