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EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset

Paper recorded by Signals 4 on 2026-09-15 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-15 on arXiv · recorded by Signals 4 on 2026-09-16

Category: cs.CV · 计算机视觉 · first seen 2026-09-16

Abstract

3D hand mesh reconstruction is a challenging yet essential task for downstream applications, including human-robot interaction and AR/VR. Although conventional cameras have been widely adopted for this task, methods that rely on them struggle in low-light environments and under severe motion blur. To address these limitations, event-based cameras have recently attracted attention for their high dy

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#43 most recent of 237 cs.CV papers we have recorded · ↑ newer: Probe-VAD: Ordinal Likelihood Probing for Training-Free Video Anomaly · ↓ older: Multimodal Cultural Heritage Architectural Style Classification for Re
Cite this page: EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset: the #43 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/eventegohands-event-based-egocentric-3d-hand-mesh-reconstruction-with-real-datas.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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