D-Prism：面向结构化动态建模的可微图元
D-Prism: Differentiable Primitives for Structured Dynamic Modeling
把 3DGS 绑定到可微图元表面并用变形网络驱动图元运动，为动态物体重建提供了「结构化几何 + 精确运动」的可复用范式；自适应图元数量控制策略可直接迁移到其他基于图元的场景表示中。
原文依据 we bind 3DGS to primitive surfaces, leveraging their respective strengths in appearance and geometry
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论为结构化动态物体（如多部件装配体或铰接机构）同时捕捉几何与刚体运动仍是一项关键挑战。现有的动态方法，如可变形网格或 3DGS，依赖非结构化表示，无法联合建模合适的几何与铰接运动。基于图元的方法在结构化静态场景中表现出色，但其动态潜力尚未被探索。我们提出 D-Prism，这是首个通过将可微图元扩展到动态领域来实现高保真结构化动态建模的框架。具体而言，我们将 3DGS 绑定到图元表面，利用二者在外观与几何方面各自的优势。我们引入一个变形网络来控制图元运动，确保其准确匹配物体的运动。此外，我们设计了一种新颖的自适应控制策略来动态调整图元数量，以更好地匹配物体的真实空间占位。实验证实，我们的方法在结构化动态建模方面表现优异，同时提供结构化几何与精确的运动跟踪。项目主页：https://zju3dv.github.io/d-prism/。
英文原文摘要 1142 字符
Capturing both geometry and rigid motion for structured dynamic objects, like multi-part assemblies or jointed mechanisms, remains a key challenge. Existing dynamic methods, such as deformable meshes or 3DGS, rely on unstructured representations and fail to jointly model suitable geometry and articulated motion. Primitive-based methods excel at structured static scenes, but their dynamic potential is still unexplored. We propose D-Prism, the first framework to achieve high-fidelity structured dynamic modeling by extending differentiable primitives to the dynamic domain.Specifically, we bind 3DGS to primitive surfaces, leveraging their respective strengths in appearance and geometry. We introduce a deformation network to control primitive motion, ensuring it accurately matches the object's movement. Furthermore, we design a novel adaptive control strategy to dynamically adjust primitive counts, better matching objects' true spatial footprint.Experiments confirm that our method excels at structured dynamic modeling, providing both structured geometry and precise motion tracking. Project page: https://zju3dv.github.io/d-prism/.