CoRe3D：以协同推理为基石构建三维智能

摘要

大型多模态模型的最新进展表明，显式推理机制对提升模型可靠性、可解释性及跨模态对齐具有关键作用。尽管这类以推理为核心的方法已在语言与视觉任务中被证明有效，但其向三维领域的拓展仍显不足。CoRe3D提出了一种统一的三维理解与生成推理框架，该框架能协同处理语义与空间抽象信息，使从语言推断出的高层意图直接指导低层三维内容的生成。该设计的核心在于一种空间锚定的推理表征，它将三维潜在空间分解为局部区域，使模型能够以组合式、流程化的方式对几何结构进行推理。通过将语义链式推理与结构化空间推理紧密耦合，CoRe3D生成的三维输出既保持了强烈的局部一致性，又与语言描述实现精准对齐。

English

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.

CoRe3D：以协同推理为基石构建三维智能

CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence

摘要

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