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.

翻译：近期大型多模态模型的进展表明，显式推理机制在提升模型可靠性、可解释性及跨模态对齐方面发挥着关键作用。尽管此类以推理为核心的方法在语言与视觉任务中已被证明有效，但其向三维领域的扩展仍显不足。CoRe3D引入了一个统一的三维理解与生成推理框架，该框架在语义与空间抽象上协同运作，使得从语言推断出的高层意图能够直接指导低层三维内容的构建。此设计的核心是一种基于空间的推理表征，它将三维潜在空间分解为局部化区域，使模型能够以组合化和程序化的方式对几何结构进行推理。通过将语义思维链推理与结构化空间推理紧密耦合，CoRe3D生成的三维输出展现出强烈的局部一致性，并与语言描述保持高度忠实对齐。