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
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
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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