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Sep, 2023
MEFLUT: 多曝光图像融合的无监督一维查找表
MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
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Ting Jiang, Chuan Wang, Xinpeng Li, Ru Li, Haoqiang Fan...
TL;DR
我们介绍了一种高质量多曝光图像融合的新方法,通过编码每个曝光的融合权重到一维查找表(LUT)中,利用注意力机制提升融合质量,并通过一个包含960个样本的数据集训练网络,实验证明我们的方法在质量和效率上都优于现有方法。
Abstract
In this paper, we introduce a new approach for high-quality
multi-exposure image fusion
(MEF). We show that the fusion weights of an exposure can be encoded into a
1d lookup table
(LUT), which takes pixel intensi
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