AI Research

    CoDimRecon: Agentic Reconstruction of Sim-Ready 3D Scenes with Deformable Curves, Surfaces, and Volumes

    Bridging the gap between real-world observations and simulation-ready deformable 3D assets.

    Reconstructing simulation-ready 3D scenes from real-world observations enables robotics, gaming, and immersive applications, yet existing methods largely assume rigid objects. This leaves an important gap for deformables, whose simulation-ready geometry depends on dimensionality ...

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    ArXiv CS.CV

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    ArXiv CS.CV
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    CoDimRecon bridges a critical gap in computer vision by enabling the autonomous reconstruction of non-rigid, simulation-ready 3D assets. By integrating deformable curves and surfaces, this agentic approach unlocks new possibilities for high-fidelity robotics and interactive virtual environments.

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