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New frameworks generate physically grounded articulated 3D assets for simulation · 4 sources tracked

Researchers have developed new frameworks for generating physically grounded articulated 3D assets, focusing on how objects move and function rather than just their appearance. Artisan, a multi-agent pipeline, incorporates physical simulation feedback to ensure attributes like collision-free motion and stability. USDCraft uses a pretrained LLM to write programs for creating simulation-ready articulated assets from geometric evidence, producing USD assets compatible with NVIDIA Isaac Sim. PhySGA, another agentic framework, utilizes a collaborative architecture with an Assembly Agent and a Critic Agent to handle complex compositions and interactive assembly, demonstrating superior performance in relation fidelity and physical plausibility within Isaac Sim. AI

IMPACT These advancements could significantly improve the creation of realistic 3D assets for robotics, gaming, and digital content creation, enabling more sophisticated simulations and applications.

RANK_REASON Multiple research papers introducing new frameworks and benchmarks for 3D asset generation.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 5 sources. How we write summaries →

New frameworks generate physically grounded articulated 3D assets for simulation · 4 sources tracked

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Multiple research papers introducing new frameworks and benchmarks for 3D asset generation.
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COVERAGE [5]

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

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

    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) ·

    Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark

    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: Geometrically Grounded Programmatic Modeling of Articulated 3D Assets for Simulation

    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: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition

    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 ·

    Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark

    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…