通用图像融合框架论文及代码整理
首先附上近期整理基于深度学习的图像融合论文的思维导图
本篇博客主要整理通用图像融合框架的论文和代码
图像融合综述论文整理参见：图像融合综述论文整理
图像融合评估指标参见：红外和可见光图像融合评估指标
图像融合常用数据集整理参见：图像融合常用数据集整理
红外和可见光图像融合代码参见：红外和可见光图像融合论文及代码整理
基于深度学习的红外和可见光图像融合论文及代码整理参见：基于深度学习的红外和可见光图像融合论文及代码整理
传统的通用图像融合框架
1. A general framework for image fusion based on multi-scale transform and sparse representation [MST-SR(IF 2015)] [Paper] [Code]
基于深度学习的图像融合框架
1. IFCNN: A general image fusion framework based on convolutional neural network [IFCNN(IF 2020)] [Paper] [Code]
2. FusionDN: A Unified Densely Connected Network for Image Fusion [FusionDN(AAAI 2020)] [Paper] [Code]
3. Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity [PMGI(AAAI 2020)] [Paper] [Code]
4. Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion [CU-Net(TPAMI 2021)] [Paper]
5. SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion [SDNe(IJCV 2021)] [Paper] [Code]
6. Unsupervised Deep Image Fusion With Structure Tensor Representations
[DIF-Net(TIP 2021)] [Paper] [Code]
7. IFSepR: A general framework for image fusion based on separate representation learning [IFSepR(TMM 2021)] [Paper]
8. Multiple Task-Oriented Encoders for Unified Image Fusion [MTOE(ICME 2021)] [Paper]
9. U2Fusion: A Unified Unsupervised Image Fusion Network [U2Fusion(TPAMI 2022)] [Paper] [Code]
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