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English(EN) \textit{4DSurf}: High-Fidelity Dynamic Scene Surface Reconstruction

4DSurf框架实现高保真动态3D场景重建

研究人员推出了一种名为“4DSurf”的新型框架,用于高保真地重建动态3D场景,即使在处理随时间发生的大变形时也能胜任。该方法基于高斯泼溅(Gaussian Splatting),并结合了符号距离函数流正则化(Signed Distance Function Flow Regularization)以确保几何形状的时间一致性。通过采用重叠片段划分(Overlapping Segment Partitioning)策略,4DSurf能有效处理显著的表面变形,并在实验中展现出优于现有最先进方法的性能。 AI

影响 这项研究通过实现更逼真、时间一致的动态场景重建,有望提升3D内容创作和虚拟现实的能力。

排序理由 该集群包含一篇详细介绍3D场景重建新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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4DSurf框架实现高保真动态3D场景重建

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该集群包含一篇详细介绍3D场景重建新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Renjie Wu, Hongdong Li, Jose M. Alvarez, Miaomiao Liu ·

    4DSurf:高保真动态场景表面重建

    arXiv:2603.28064v2 Announce Type: replace Abstract: This paper addresses the problem of dynamic scene surface reconstruction using Gaussian Splatting (GS), aiming to recover temporally consistent geometry. While existing GS-based dynamic surface reconstruction methods can yield s…