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UniMo framework unifies human and animal 3D motion generation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed UniMo, a novel framework for generating 3D motion that unifies human and animal movements. The system addresses the challenge of diverse animal skeletal structures by converting parametric skeletons into unparametric representations, allowing for a single model across species. UniMo is trained on UniML3D, a large-scale dataset containing over 145,000 motion sequences and 433,000 captions, which is significantly larger than existing animal motion datasets. This approach achieves state-of-the-art results on multiple benchmarks, demonstrating effective unified human-animal motion generation. AI

IMPACT Enables more versatile and scalable applications in robotics, AR/VR, gaming, and content creation by unifying motion generation across species.

RANK_REASON The cluster describes a new research paper detailing a novel framework and dataset for 3D motion generation. [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 →

UniMo framework unifies human and animal 3D motion generation

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The cluster describes a new research paper detailing a novel framework and dataset for 3D motion generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zeyu Zhang, Zhiyuan Zhang, Siheng Wang, Yiran Wang, Danning Li, Ian Reid, Richard Hartley ·

    UniMo: Unifying Human and Animal Motion Generation

    arXiv:2609.12342v1 Announce Type: new Abstract: The conditional generation of 3D motion has emerged as a key research topic due to its wide applicability across robotics, AR/VR, gaming, and content creation. However, extending recent advances in text-driven human motion generatio…

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