English(EN) TUGS: Physics-based Compact Representation of Underwater Scenes by Tensorized Gaussian

新的TUGS方法增强了水下3D场景重建

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-30 04:00

研究人员开发了张量化水下高斯泼溅（TUGS），一种用于重建3D水下场景的新方法。该方法使用基于物理的模块来模拟光线交互，并引入了张量化致密化策略以进行高效优化。TUGS旨在以更少的渲染时间和内存使用量生成高质量的水下图像，并在实验中以更少的参数展示了卓越的重建质量。 AI

影响这项研究可以改进水下机器人驱动的感知和导航。

排序理由该集群包含一篇详细介绍3D场景重建新方法的 ist 研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.CV TIER_1 English(EN) · Shijie Lian, Ziyi Zhang, Hua Li, Laurence Tianruo Yang, Mengyu Ren, Debin Liu, Wenhui Wu · 2026-06-30 04:00

TUGS：基于物理的张量化高斯水下场景紧凑表示

arXiv:2505.08811v3 Announce Type: replace Abstract: Underwater 3D scene reconstruction is crucial for multimedia applications in adverse environments, such as underwater robotic perception and navigation. However, the complexity of interactions between light propagation, water me…