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English(EN) PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition

新框架生成用于仿真的物理接地关节3D资产 · 已追踪4个来源

作者 PulseAugur 编辑部 · [5 个来源] ·

研究人员开发了用于生成物理接地关节3D资产的新框架，重点关注物体如何移动和功能，而不仅仅是其外观。Artisan是一个多代理流水线，整合了物理仿真反馈，以确保无碰撞运动和稳定性等属性。USDCraft使用预训练的LLM，根据几何证据编写程序来创建可用于仿真的关节资产，生成与NVIDIA Isaac Sim兼容的USD资产。PhySGA是另一个代理框架，它利用一个由组装代理和批评代理组成的协作架构来处理复杂的组合和交互式组装，在Isaac Sim中展示了在关系保真度和物理合理性方面的卓越性能。 AI

影响 这些进展可以显著改善机器人、游戏和数字内容创作中逼真3D资产的创建，从而实现更复杂的仿真和应用。

排序理由 多篇研究论文介绍了用于3D资产生成的新框架和基准。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →

新框架生成用于仿真的物理接地关节3D资产 · 已追踪4个来源

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多篇研究论文介绍了用于3D资产生成的新框架和基准。
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报道来源 [5]

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

    PhySGA：一个用于通用和交互式3D组合的物理空间基础的代理框架

    3D object composition is pivotal to digital content creation and robot simulation, while also serving as a critical testbed for physical intelligence in foundation models. Previous methods either leverage large language models to directly predict object coordinates, or utilize ge…

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

    迈向物理可信的铰接式三维资产：一个多智能体管道和基准测试

    In this paper, we study physically grounded articulated 3D asset generation---moving the goal from reproducing how objects look to capturing how they move and function. Inspired by the literature on procedural and agentic generation, we present Artisan, a system that extends the …

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

    USDCraft: 几何约束的程序化建模，用于模拟可动3D资产

    Geometrically faithful and functional articulated 3D assets are essential for real-to-sim robot manipulation, where policies trained in simulation must transfer to physical objects. Recent mesh-based methods learn to infer articulation from annotated 3D assets, but deployment rem…

  4. arXiv cs.CV TIER_1 English(EN) · Weichen Lyu, Chong Xia, Mingyu Dong, Long Xu, Shengjun Zhang, Yueqi Duan ·

    PhySGA：一个物理空间基础的智能体框架，用于可泛化和交互式3D合成

    arXiv:2610.20560v1 Announce Type: cross Abstract: 3D object composition is pivotal to digital content creation and robot simulation, while also serving as a critical testbed for physical intelligence in foundation models. Previous methods either leverage large language models to …

  5. arXiv cs.CV TIER_1 English(EN) · Xudong Cai, Ruijie Zhu, Haoliang Shang, Ruining Li, Marc Pollefeys, Shangzhe Wu, Andrea Vedaldi, Chuanxia Zheng ·

    迈向量化可动三维资产：一个多智能体管道和基准测试

    arXiv:2610.13947v1 Announce Type: new Abstract: In this paper, we study physically grounded articulated 3D asset generation---moving the goal from reproducing how objects look to capturing how they move and function. Inspired by the literature on procedural and agentic generation…

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