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PhysiFormer 使用坐标空间扩散进行物理上可行的3D物体运动模拟 · 跟踪3个来源

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了PhysiFormer，一种能够模拟物理上可行的3D物体运动的新型扩散Transformer。与之前在像素空间操作的方法不同，PhysiFormer直接在世界坐标中处理3D网格，无需显式的归纳偏置。该模型在超过100,000个模拟轨迹上进行训练，在预测刚性和弹性力学方面表现出色，能够泛化到各种材料和物体数量，并在准确性和物理一致性方面优于自回归基线。 AI

影响 该模型通过实现更准确和泛化的运动预测，有望推动机器人和计算机图形学领域的物理模拟。

排序理由 该集群报道了一篇详细介绍新型3D物体运动模拟模型的新学术论文。

在 arXiv cs.CV 阅读 →

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PhysiFormer 使用坐标空间扩散进行物理上可行的3D物体运动模拟 · 跟踪3个来源

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该集群报道了一篇详细介绍新型3D物体运动模拟模型的新学术论文。
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报道来源 [3]

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

    PhysiFormer：在世界空间中学习模拟力学

    PhysiFormer uses coordinate-space diffusion to generate physically-plausible 3D object motions without explicit inductive biases, enabling efficient multi-object reasoning and generalization to complex materials and geometries.

  2. arXiv cs.CV TIER_1 English(EN) · Yiming Chen, Yushi Lan, Andrea Vedaldi ·

    PhysiFormer：在世界空间中学习模拟力学

    arXiv:2606.27364v1 Announce Type: new Abstract: We present PhysiFormer, a diffusion transformer for physically-plausible 3D object motion. Unlike video world models that operate in view-dependent pixel space, PhysiFormer represents objects as 3D meshes expressed in world coordina…

  3. arXiv cs.CV TIER_1 English(EN) · Andrea Vedaldi ·

    PhysiFormer：在世界空间中学习模拟力学

    We present PhysiFormer, a diffusion transformer for physically-plausible 3D object motion. Unlike video world models that operate in view-dependent pixel space, PhysiFormer represents objects as 3D meshes expressed in world coordinates. Given the initial vertex positions and velo…

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