EventEgoHands++: Event-Camera Egocentric 3D Hand Reconstruction with 1M-Frame Real Dataset

Ryosei Hara · hf · 2026-09-17

• EventEgoHands++ tackles egocentric 3D hand mesh reconstruction from event cameras, which struggle when dense background events from wearer motion obscure hand signals.
• A Hand Detector provides instance-level boxes/masks for left and right hands, and Adaptive Attention dynamically gates attention to learn spatial relations and interactions between hands.
• The authors build EEH-R, the largest real-world event-based egocentric hand dataset (1M annotated frames, including low-light), plus an extended synthetic N-HOT3D; the method consistently beats baselines on both.

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