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English(EN) $\pi$-SUB: A Physics-Informed Synthetic Underwater Benchmark Dataset for Underwater Image Enhancement

新数据集和模型推动水下图像增强技术发展 · 跟踪 4 个来源

研究人员推出了几个用于改进水下图像增强 (UIE) 的新框架和数据集。$\pi$-SUB 数据集采用物理信息框架开发,旨在通过整合详细的环境因素,弥合合成水下图像与真实水下图像之间的差距。与现有数据集相比,它在超真实感和泛化能力方面显示出显著的改进。此外,还提出了 CoRe-UIE 和 PROTEUS 等新的 UIE 架构,它们通过采用专家协作和退化引导特征适应来解决共存退化和区域变化等挑战。 AI

影响 UIE 的这些进步可能为海洋研究、自主导航和监视等应用带来更清晰的水下图像。

排序理由 多篇研究论文介绍了用于水下图像增强的新数据集和模型。

在 arXiv cs.AI 阅读 →

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新数据集和模型推动水下图像增强技术发展 · 跟踪 4 个来源

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多篇研究论文介绍了用于水下图像增强的新数据集和模型。
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报道来源 [5]

  1. arXiv cs.AI TIER_1 English(EN) · Namritha Lasyapriya Maddali, Rajini Makam, Suresh Sundaram, Narasimhan Sundararajan ·

    $\pi$-SUB:用于水下图像增强的物理信息合成水下基准数据集

    arXiv:2608.10589v1 Announce Type: cross Abstract: This paper presents $\pi$-SUB, a physics-informed framework for generating synthetic underwater benchmark datasets that bridges the synthetic-to-real gap for Underwater Image Enhancement (UIE). The proposed framework extends the c…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    $π$-SUB:用于水下图像增强的物理信息合成水下基准数据集

    This paper presents $π$-SUB, a physics-informed framework for generating synthetic underwater benchmark datasets that bridges the synthetic-to-real gap for Underwater Image Enhancement (UIE). The proposed framework extends the classical underwater image formation model by incorpo…

  3. arXiv cs.AI TIER_1 English(EN) · Weifeng Kong, Chenghao Xu, Lin Chen, Ziheng Cao, Guanying Huo ·

    CoRe-UIE:重新思考水下图像增强中共存和区域退化问题

    arXiv:2608.08965v1 Announce Type: new Abstract: Underwater images often suffer from diverse and coexisting degradations, including color distortion, scattering haze, texture attenuation, and uneven illumination. These degradations vary across regions and may coexist locally, maki…

  4. arXiv cs.CV TIER_1 English(EN) · Sara Aghajanzadeh, Yingxue Wang, Ieva Bagdonaviciute, David Forsyth ·

    VLMs 在水下图像重建的系统评估中获胜

    arXiv:2608.11425v1 Announce Type: new Abstract: Underwater image restoration consists of recovering an image which looks like there is no water present. To date, evaluation has not been systematic. This paper describes a systematic evaluation pipeline for underwater reconstructio…

  5. arXiv cs.CV TIER_1 English(EN) · Xu Zhang, Xuhui Cao, Kangzhe Yuan, Laibin Chang, Yichu Xu, Shi Chen, Huan Zhang, Yong Chen ·

    面向任务的潜在控制的退化引导水下图像恢复

    arXiv:2608.08661v1 Announce Type: new Abstract: Degradation information in underwater images plays a dual role: its spatial and spectral cues can guide adaptive restoration, while degradation-entangled features may be propagated without explicit regulation during decoding. Existi…