CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence
Recent advances in large multimodal models suggest that explicit reasoning mechanisms play a critical role in improving model reliability, interpretability, and cross-modal alignment. While such reasoning-centric approaches have been proven effective in language and vision tasks, their extension to 3D remains underdeveloped. CoRe3D introduces a unified 3D understanding and generation reasoning framework that jointly operates over semantic and spatial abstractions, enabling high-level intent inferred from language to directly guide low-level 3D content formation. Central to this design is a spatially grounded reasoning representation that decomposes 3D latent space into localized regions, allowing the model to reason over geometry in a compositional and procedural manner. By tightly coupling semantic chain-of-thought inference with structured spatial reasoning, CoRe3D produces 3D outputs that exhibit strong local consistency and faithful alignment with linguistic descriptions.
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Tianjiao Yu
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Xinzhuo Li
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2026-03-23T11:02:35.942Z
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Xinzhuo Li
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Yifan Shen
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Yuanzhe Liu
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Ismini Lourentzou
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2026-02-12T20:29:04.120Z
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Ismini Lourentzou
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user
isminoula
CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence
Recent advances in large multimodal models suggest that explicit reasoning mechanisms play a critical role in improving model reliability, interpretability, and cross-modal alignment. While such reasoning-centric approaches have been proven effective in language and vision tasks, their extension to 3D remains underdeveloped. CoRe3D introduces a unified 3D understanding and generation reasoning framework that jointly operates over semantic and spatial abstractions, enabling high-level intent inferred from language to directly guide low-level 3D content formation. Central to this design is a spatially grounded reasoning representation that decomposes 3D latent space into localized regions, allowing the model to reason over geometry in a compositional and procedural manner. By tightly coupling semantic chain-of-thought inference with structured spatial reasoning, CoRe3D produces 3D outputs that exhibit strong local consistency and faithful alignment with linguistic descriptions.
A reasoning framework for 3D understanding and generation, CoRe3D, uses spatially grounded reasoning to align high-level language intent with low-level 3D content, ensuring local consistency and alignment with descriptions.
multimodal models reasoning mechanisms language tasks vision tasks 3D understanding 3D generation semantic abstractions spatial abstractions high-level intent low-level 3D content spatially grounded reasoning 3D latent space localized regions compositional reasoning procedural reasoning semantic chain-of-thought inference structured spatial reasoning local consistency linguistic descriptions