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Movens-Zero: Scaling Humanoid Motion Foundation Models with Large-Scale Human Videos

Paper recorded by Signals 4 on 2026-10-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02

Category: cs.CV · 计算机视觉 · first seen 2026-11-02

Abstract

Scaling humanoid motion foundation models is constrained by the scarcity of diverse, robot-executable data and by the difficulty of jointly learning from heterogeneous multimodal inputs while supporting real-time closed-loop control. We present Movens-5M, constructed from raw Internet videos through clip generation, quality filtering, semantic annotation, motion recovery, and physical refinement w

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#46 most recent of 710 cs.CV papers we have recorded · ↑ newer: IGDA-ICMH: an Importance Guided Feature and Network Dual Adaptation Fr · ↓ older: Open-Weight MLLMs Cannot Compare What They Cannot Name
Cite this page: Movens-Zero: Scaling Humanoid Motion Foundation Models with Large-Scale Human Videos: the #46 most recent of 710 cs.CV papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/movens-zero-scaling-humanoid-motion-foundation-models-with-large-scale-human-vid.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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