DualPrim：基于正负基元的紧凑三维重建
DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives
用正/负超二次曲面基元作为显式几何表示，配合可微渲染从多视图图像联合优化，为视觉研究者提供了一条绕开 SDF/网格、直接得到紧凑且拓扑灵活网格的重建路线，可复用于物体级重建与可解释几何建模。
原文依据 we design a differentiable rendering pipeline that jointly estimates positive and negative superquadrics under view-consistent supervision
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论本文提出基于正负基元的紧凑三维重建方法（DualPrim），一种从多视图图像重建紧凑且拓扑规则的三维网格的新方法。与依赖符号距离函数等隐式表示、或网格与点云等显式格式的传统方法不同，本方法使用基于二次曲面的三维基元对几何进行建模。每个基元由一个贡献形状的正密度超二次曲面和一个雕刻局部体积的负密度超二次曲面定义，从而实现细粒度的几何控制与灵活的拓扑。这种双基元表示带来了紧凑、良好正则化且参数高效的三维网格重建。为从多视图图像推断基元参数，本文设计了可微渲染管线，在视图一致性监督下联合估计正、负超二次曲面。大量实验表明，DualPrim 在重建精度上优于最优方法，同时生成几何上更简洁、更具可解释性且高保真的三维网格。
英文原文摘要 1143 字符
We present Compact 3D Reconstruction with Positive and Negative Primitives (DualPrim), a novel approach for reconstructing compact and topologically regular 3D meshes from multi-view images. Unlike traditional methods that rely on implicit representations such as signed distance functions, or explicit formats such as meshes and point clouds, our method models geometry using quadrics-based 3D primitives. Each primitive is defined by a positive-density superquadric that contributes to the shape, and a negative-density superquadric that carves out local volumes, enabling fine-grained geometric control and flexible topology. This dual-primitive representation yields compact, well-regularized, and efficiently parameterized mesh reconstructions. To infer primitive parameters from multi-view images, we design a differentiable rendering pipeline that jointly estimates positive and negative superquadrics under view-consistent supervision. Extensive experiments demonstrate that DualPrim outperforms state-of-the-art methods in reconstruction accuracy while producing more geometrically concise, interpretable, and high-fidelity 3D meshes.