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English(EN) InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generation

新的InterPet4D数据集和框架推动人宠运动生成研究

研究人员推出了InterPet4D,一个新颖的多模态数据集,旨在推动人宠交互研究,特别是在运动生成方面。该数据集包含680万帧同步的多视角和以自我为中心的视频,以及人类和狗的详细标注,包括关键点、网格和音频。配套的InterPetMoGen框架采用序列到序列学习和Diffusion Transformer构建,在生成逼真的人宠交互方面表现出色,FID得分为11.21。 AI

影响 该数据集和框架可以实现更逼真的人工智能驱动的人类与动物交互模拟和应用。

排序理由 该集群描述了一个新的人宠交互运动生成数据集和框架,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的InterPet4D数据集和框架推动人宠运动生成研究

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该集群描述了一个新的人宠交互运动生成数据集和框架,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    InterPet4D:用于宠物运动生成的模态4D人宠交互数据集

    Human-pet interaction estimation and generation remain underexplored due to the absence of a high-quality large-scale dataset. We present InterPet4D, the first multimodal dataset capturing natural interactions between humans and dogs. Using a synchronized multi-view capture syste…