AI RESEARCH
EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation
arXiv CS.CV
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ArXi:2603.09385v1 Announce Type: new Event cameras offer superior sensitivity to high-speed motion and extreme lighting, making event-based monocular depth estimation a promising approach for robust 3D perception in challenging conditions. However, progress is severely hindered by the scarcity of dense depth annotations. While recent annotation-free approaches mitigate this by distilling knowledge from Vision Foundation Models (VFMs), a critical limitation persists: they process event streams as independent frames.