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Research paper on hand-aware human mesh recovery withdrawn

By PulseAugur Editorial · [1 sources] ·

A research paper titled "DanceHMR: Hand-Aware Whole-Body Human Mesh Recovery from Monocular Videos" was submitted to arXiv, proposing a new framework for reconstructing human motion from single video feeds. The method aims to improve both the stability of overall body movement and the detail of hand articulation, addressing limitations in existing approaches that either focus on body coherence or frame-by-frame accuracy. The paper was later withdrawn by its author, Wenhao Shen. AI

IMPACT A research paper on human mesh recovery was withdrawn, indicating a pause or revision in this specific area of computer vision research.

RANK_REASON The cluster contains a withdrawn academic paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Research paper on hand-aware human mesh recovery withdrawn

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The cluster contains a withdrawn academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Wenhao Shen, Ming Zhou, Hengyuan Zhang, Siyuan Bian, Youjiang Xu, Xi Lin ·

    DanceHMR: Hand-Aware Whole-Body Human Mesh Recovery from Monocular Videos

    arXiv:2605.18102v2 Announce Type: replace Abstract: Monocular video human mesh recovery is essential for digital humans, avatar animation, and embodied simulation, where both temporal stability and expressive whole-body motion are required. Existing video HMR methods produce cohe…

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