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English(EN) Gaussian-Voxel Duet: A Dual-Scaffolding Hybrid Representation for Fast and Accurate Monocular Surface Reconstruction

新的Gaussian-Voxel Duet改进了3D表面重建

研究人员开发了一种名为Gaussian-Voxel Duet的新型混合表示方法,以改进单目表面重建。该方法将3D高斯泼溅与稀疏体素支架相结合,将高斯限制在由体素化符号距离场定义的表面区域内。该方法旨在平衡几何精度和优化效率,在保持快速训练和实时渲染的同时,提供最先进的重建质量和新视角合成。 AI

影响 这种新的混合表示方法有望为增强现实和机器人等应用带来更高效、更准确的3D重建。

排序理由 该集群包含一篇详细介绍3D表面重建新方法的学术论文。

在 arXiv cs.CV 阅读 →

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新的Gaussian-Voxel Duet改进了3D表面重建

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Zhenhua Du, Zhen Tan, Haoyu Zhang, Dewen Hu, Shuaifeng Zhi, Peidong Liu ·

    Gaussian-Voxel Duet: 一种用于快速准确单目表面重建的双支架混合表示

    arXiv:2605.26616v1 Announce Type: new Abstract: While 3D Gaussian Splatting has achieved remarkable success in photorealistic novel view synthesis, its pursuit of fast and high-fidelity 3D reconstruction has long been constrained by a trade-off between geometric accuracy and opti…

  2. arXiv cs.CV TIER_1 English(EN) · Peidong Liu ·

    Gaussian-Voxel Duet: 一种用于快速准确单目表面重建的双支架混合表示

    While 3D Gaussian Splatting has achieved remarkable success in photorealistic novel view synthesis, its pursuit of fast and high-fidelity 3D reconstruction has long been constrained by a trade-off between geometric accuracy and optimization efficiency. Methods specialized in imag…