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DewHand: Direct Metric World-Space Hand Motion Reconstruction from Egocentric Videos

Paper recorded by Signals 4 on 2026-10-21 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.CV · 计算机视觉 · first seen 2026-10-22

Abstract

Recovering metric world-space hand motion from egocentric video supports understanding human interactions and transferring them to embodied agents. Three challenges complicate this task: multi-stage pipelines propagate errors from independently estimated hand and camera motion; monocular observations leave physical scale ambiguous; and occlusion and out-of-view hands admit multiple plausible motio

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#202 most recent of 756 cs.CV papers we have recorded · ↑ newer: Existence of Minimizers for the Gaussian Mumford-Shah Model via Covari · ↓ older: CausalAlign: Causal Alignment of Video Generation Models for Consisten
Cite this page: DewHand: Direct Metric World-Space Hand Motion Reconstruction from Egocentric Videos: the #202 most recent of 756 cs.CV papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dewhand-direct-metric-world-space-hand-motion-reconstruction-from-egocentric-vid.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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