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MLLMs convert images to interactive 3D scenes with physics grounding

Researchers have developed NeoWorld-Pro, a framework that uses multimodal large language models (MLLMs) to convert single RGB images into executable programs for interactive 3D environments. This approach reformulates scene reconstruction as procedural programming, enabling the specification of object geometry, articulation, and physical properties. A physics-in-the-loop mechanism refines these programs by validating their execution in a physics engine, ensuring physically plausible interactions and accurate spatial relationships. NeoWorld-Pro demonstrates superior performance over existing methods in tasks like stable stacking and fine-grained manipulation. AI

IMPACT Enables more realistic and interactive simulations for embodied AI research by grounding 3D scene generation in physical properties.

RANK_REASON The cluster describes a new research paper detailing a novel framework for scene reconstruction using MLLMs and physics simulation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MLLMs convert images to interactive 3D scenes with physics grounding

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The cluster describes a new research paper detailing a novel framework for scene reconstruction using MLLMs and physics simulation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yumeng He, Yichen Song, Xiaotian Yang, Weijia Zhang, Zanwei Zhou, Junru Gong, Xiaokang Yang, Yunbo Wang ·

    NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation

    arXiv:2608.24212v1 Announce Type: new Abstract: The advancement of Embodied AI necessitates high-quality simulation assets that faithfully mirror the real world. However, transforming raw visual observations into simulation-ready scenes remains challenging due to the lack of phys…