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Image2Sim: Neural Simulator Bridges Sim-to-Real Gap in Embodied NavigationImage2Sim: 神经模拟器突破自主导航的仿真-真实鸿沟

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Image2Sim is a real-time neural simulation framework that builds interactive embodied navigation environments from RGB-D image sequences, addressing scalability constraints and sim-to-real transfer gaps in training environments.
The framework enables agents to interpret multimodal goals, reason in 3D space, and navigate to destinations by combining visual realism from real-world scanned data with the scalability of synthetic simulation.
The complete code and implementation instructions have been released on GitHub.

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