English(EN) 3D-USE: From Image-Level to Scene-Level Underwater Enhancement

新的3D-USE框架增强水下场景重建

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-31 04:00

研究人员开发了一种名为3D-USE的新型两阶段框架，用于增强水下3D场景重建。该方法首先使用介质感知径向基锚点表示（MediumRBF）建立介质感知的场景表示，以区分物体和介质的贡献。随后，外观过渡共识（ATC）将2D水下图像增强的知识转移过来，以创建场景全局和高斯局部目标，然后由水下双边外观场（U-BAF）实现。这种方法旨在提高渲染视图的可见性和一致性，而无需配对的增强3D数据。 AI

影响这项研究可能为海洋研究、探索和虚拟现实等应用带来更准确、视觉上更一致的水下3D重建。

排序理由该集群包含一篇详细介绍新的3D场景增强方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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本文如何被排名

Signal score: 13 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新的3D场景增强方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Jieyu Yuan, Yuanlin Zhang, Jihong Li, Chunle Guo, Huimin Lu, Chongyi Li · 2026-08-31 04:00

3D-USE：从图像级到场景级的水下增强

arXiv:2608.28020v1 Announce Type: new Abstract: Underwater 3D reconstruction faithfully reproduces the color shifts and visibility loss of captured views, while physical inversion may leave estimation errors in the recovered scene appearance. We formulate Underwater Scene-level E…

本文如何被排名

报道来源 [1]

3D-USE：从图像级到场景级的水下增强

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