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Aligning Human Motion Generation with Human Perceptions
About Aligning Human Motion Generation with Human Perceptions
Human Motion Generation with Human Perceptions Haoru Wang1,† Wentao Zhu1,† Luyi Miao1 Yishu Xu1 Feng Gao1 Qi Tian2 Yizhou Wang1 1 Peking University, 2 Huawei Cloud, † Lead author ICLR 2025 Paper Code arXiv Overview We collect MotionPercept, a large-scale, human-annotated dataset for motion perceptual evaluation, where human subjects select the best quality motion in multiple-choice questions.
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Category: Technology
motioncritic.github.ioAI Visibility Breakdown
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Structured Data
7
Content Structure
5
Entity Clarity
4
E-E-A-T Signals
5
Technical AEO
2
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Source & Attribution
Scored by Engagemii on May 28, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/motioncritic-github-io
Cite this score: Engagemii (2026). "AEO Score for Aligning Human Motion Generation with Human Perceptions." Retrieved from https://engagemii.com/aeo/brands/motioncritic-github-io
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