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English(EN) BVI-Mamba: Video Enhancement Using a Visual State-Space Model for Low-Light and Underwater Environments

Visual Mamba 使用状态空间模型增强低光照和水下视频

研究人员开发了 BVI-Mamba,一个用于增强在低光照和水下条件下拍摄的视频的新框架。与现有的基于 AI 的工具相比,这种新方法利用视觉状态空间 (VSS) 模型来降低计算需求和内存使用量。该框架包括一个用于注册帧位移的特征对齐模块和一个采用 VSS 块进行去噪和亮度调整的增强模块。实验表明,在视频增强任务中,BVI-Mamba 的性能优于 Transformer 和基于卷积的模型。 AI

影响 为视频增强提供了一种计算效率更高的方法,有可能改善在专业环境中的性能。

排序理由 介绍用于视频增强的新模型架构的学术论文。

在 arXiv cs.CV 阅读 →

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Visual Mamba 使用状态空间模型增强低光照和水下视频

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介绍用于视频增强的新模型架构的学术论文。
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Guoxi Huang, Ruirui Lin, Yini Li, David R. Bull, Nantheera Anantrasirichai ·

    BVI-Mamba:用于低光照和水下环境的视觉状态空间模型视频增强

    arXiv:2604.23655v1 Announce Type: new Abstract: Videos captured in low-light and underwater conditions often suffer from distortions such as noise, low contrast, color imbalance, and blur. These issues not only limit visibility but also degrade automatic tasks like detection. Pos…