3 papers
cs.CV2026
OTT3R: Multi-View 3D Reconstruction and Fast Dataset Generation at 1% Compute
Brandon Leblanc, Charalambos Poullis
Feed-forward 3D reconstruction models have achieved impressive performance by scaling model and dataset size, but their cost excludes most research groups and precludes edge deploy…
cs.CV2026
SAGE-OR: Semi-supervised Adaptive Scene Graph Generation for Operating Rooms
Brandon Leblanc, Charalambos Poullis
Current surgical scene graph generation methods depend on dense multi-modal supervision and specialized hardware (synchronized RGB-D sensors, calibration rigs), making dataset cons…
cs.CV2026
Distill3R: A Pipeline for Democratizing 3D Foundation Models on Commodity Hardware
Brandon Leblanc, Charalambos Poullis
While multi-view 3D reconstruction has shifted toward large-scale foundation models capable of inferring globally consistent geometry, their reliance on massive computational clust…