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English(EN) Make-It-Poseable: Feed-forward Latent Posing Model for 3D Characters

新AI框架提升3D角色姿态质量

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了“Make-It-Poseable”，一个旨在改进3D角色（尤其是AI生成的角色）姿态的新前馈框架。该方法将角色姿态视为一个无蒙皮的潜在空间变换问题，将形状变形与固定的网格连通性解耦。该框架包含一个潜在姿态Transformer、一种密集姿态表示和一个自适应补全模块，与现有方法相比，展示了卓越的姿态质量和泛化能力。 AI

影响 这种新方法可以显著提高游戏、动画和虚拟环境3D资产创建的质量和效率。

排序理由 详细介绍新模型/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 →

新AI框架提升3D角色姿态质量

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详细介绍新模型/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) · Zhiyang Guo, Ori Zhang, Jax Xiang, Alan Zhao, Zhenxun Yuan, Wengang Zhou, Houqiang Li ·

    Make-It-Poseable：用于3D角色的前馈潜在姿势模型

    arXiv:2512.16767v3 Announce Type: replace Abstract: Posing 3D characters is a fundamental task in computer graphics. However, existing paradigms, ranging from traditional auto-rigging to recent pose-conditioned generative models, frequently struggle with inaccurate skinning weigh…

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