图像去雾学习笔记十一:Ultra-high-definition image dehazing via multi-guided bilateral learning(CVPR2021) 1.标题:基于多引导双边学习的超高清图像去雾 2.概述 本文提出了一种能够在单个GPU上实时去雾4K图像的新型网络,该网络由三个深度CNN组成。第一个CNN在雾天输入的低分辨率下提取雾天相关特征,然后在双边空间...
双边网格学习一:2021cvpr《Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning》 目录 背景 方法 总结 背景 众所周知,目前深度学习去雾方法速度方面一直是个痛点,难以达到效果和速度兼容。基于此,本论文设计了快速的去雾网络,网络基于双边...
提出一种新颖的Low-light Transformer(LLFormer)用于UHD-LLIE任务。LLFormer由两个基本单元组成,一个高效的基于轴的Transformer块和一个跨层注意力融合块。 在基于轴的Transformer块内,基于轴的自注意力单元对跨通道维度的特征的高度轴和宽度轴执行自注意机制,以捕获具有较低计算复杂度的非局部自相似性和长程依赖性。
【AAAI2023】Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method 这个论文首先构建了ultra-high definition low-light (UHD-LOL)数据集,然后提出了 Low-Light Transformer (LLFormer)。 LLFormer 的整体框架如下所示,可以看出和 Restormer 有些类似。我的理解,作者改进了三...
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An ultra-high-definition image data processing method and device based on GPU fusion processing, belonging to the technical field of video fusion processing. The method comprises: S1, receiving ultra-high-definition image data; S2, asynchronously transmitting first channel data and second channel data...
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use of MSI differs from conventional applications by the magnitude of the data generated using the lab’s world record 21-tesla ion cyclotron resonance (ICR) mass spectrometer (21-T). The 21-T ensures ultra-high definition image capturing, with significantly more pixels making up...
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