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ViPS框架从视频扩散模型生成合理的3D网格关节

研究人员开发了一个名为Video-informed Pose Spaces (ViPS)的新框架,用于为3D网格生成合理的关节。ViPS利用预训练视频扩散模型的运动先验来创建姿态空间,避免了诸如解剖结构过度伸展等常见问题。这种方法允许形状多样化、逆向运动学和连贯的动画轨迹,甚至可以泛化到未见的骨骼拓扑结构。 AI

影响 通过将生成视频模型的先验知识提炼到姿态空间,实现了更真实、更可控的3D网格动画。

排序理由 该集群包含一篇详细介绍新技术框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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

ViPS框架从视频扩散模型生成合理的3D网格关节

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该集群包含一篇详细介绍新技术框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Honglin Chen, Karran Pandey, Rundi Wu, Matheus Gadelha, Yannick Hold-Geoffroy, Ayush Tewari, Niloy J. Mitra, Changxi Zheng, Paul Guerrero ·

    ViPS: 用于自动绑定网格的视频驱动姿态空间

    arXiv:2604.17623v3 Announce Type: replace Abstract: Kinematic rigs provide a structured interface for articulating 3D meshes but lack any associated pose space, i.e., an explicit representation of the plausible manifold of joint configurations for a given mesh. Without such a pos…