Infrared and visible light image fusion papers and code compilation based on deep learning
First, attach a mind map of recent papers on image fusion based on deep learning.
This blog mainly compiles papers and codes on infrared and visible light image fusion based on deep learning.
The image fusion series blogs also include:
- For the most comprehensive collection of image fusion papers and codes, see: The most comprehensive collection of image fusion papers and codes
- For the collection of image fusion review papers, see: Collection of image fusion review papers
- For image fusion evaluation indicators, see: Infrared and visible light image fusion evaluation indicators
- For the organization of commonly used data sets for image fusion, see: Organization of commonly used data sets for image fusion.
- General image fusion framework papers and code arrangement see: General image fusion framework papers and code arrangement
- Infrared and visible light image fusion papers and code collection based on deep learning see: Infrared and visible light image fusion papers and code collection based on deep learning
- For more detailed infrared and visible light image fusion codes, see: Infrared and visible light image fusion papers and code collection
- Multi-exposure image fusion papers and code compilation based on deep learning see: Multi-exposure image fusion papers and code compilation based on deep learning
- Multi-focus image fusion papers and code collection based on deep learning see: Multi-focus Image Fusion papers and code collection based on deep learning
- Pan-color image sharpening papers and codes based on deep learning, see: Pan-color image sharpening papers and codes based on deep learning (Pansharpening)
- For medical image fusion papers and code compilation based on deep learning, see: Medical image fusion papers and code compilation based on deep learning
- For color image fusion, see: Color Image Fusion
- SeAFusion: The first image fusion framework that combines high-level vision tasks. See: SeAFusion: The first image fusion framework that combines high-level vision tasks.
- DIVFusion: The first framework for coupling mutually promoting low-light enhancement & image fusion. See: DIVFusion: The first framework for coupling mutually promoting low-light enhancement & image fusion.
Image fusion framework based on autoencoders
1. DenseFuse: A Fusion Approach to Infrared and Visible Images [DenseFuse(TIP 2019)] [Paper] [Code]
2. NestFuse: An Infrared and Visible Image Fusion Architecture Based on Nest Connection and Spatial/Channel Attention Models [NestFuse(TIM 2020)] [Paper] [Code]
3. RFN-Nest: An end-to-end residual fusion network for infrared and visible images [RFN-Nest (IF 2021)] [Paper] [Code]
4. Classification Saliency-Based Rule for Visible and Infrared Image Fusion [CSF (TCI 2021)] [Paper] [Code]
5. DRF: Disentangled Representation for Visible and Infrared Image Fusion [DRF(TIM 2021)] [Paper] [Code]
6. SEDRFuse: A Symmetric Encoder–Decoder With Residual Block Network for Infrared and Visible Image Fusion [SEDRFuse (TIM 2021)] [Paper] [Code]
7. Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion [EAGIF (TCSVT 2021)] [Paper]
Image fusion framework based on convolutional neural network
1. A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion [D2LE (TIP 2019)] [Paper]
2. Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion [Meta Learning(TIP 2021)] [Paper]
3. Searching a Hierarchically Aggregated Fusion Architecture for Fast Multi-Modality Image Fusion [HAF(ACM MM 2021)] [Paper] [Code]
4. RXDNFuse: A aggregated residual dense network for infrared and visible image fusion [RXDNFuse(IF 2021)] [Paper]
5. STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection [STDFusionNet(TIM 2021)] [Paper] [Code]
6. Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network [SeAFusion(IF 2022)] [Paper] [Code]
7. PIAFusion: A progressive infrared and visible image fusion network based on illumination aware [PIAFusion(IF 2022)] [Paper] [Code]
8. Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration [UMF-CMGR(IJCAI 2022)] [Paper] [Code]
9. DetFusion: A Detection-driven Infrared and Visible Image Fusion Network [DetFusion(ACM MM 2022)] [Paper] [Code]
10. DIVFusion: Darkness-free infrared and visible image fusion [DIVFusion(IF 2023)] [Paper] [Code]
Image fusion framework based on generative adversarial network
1. FusionGAN: A generative adversarial network for infrared and visible image fusion [FusionGAN(IF 2019)] [Paper] [Code]
2. Infrared and visible image fusion via detail preserving adversarial learning [Detail-GAN(IF 2021)] [Paper] [Code]
3. Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators. [DDcGAN (IJCAI 2019)] [Paper] [Code]
4. Image fusion based on generative adversarial network consistent with perception [DDcGAN(TIP 2020)] [Paper] [Code]
5. GANMcC: A Generative Adversarial Network With Multiclassification Constraints for Infrared and Visible Image Fusion [GANMcC(TIM 2020)] [Paper] [Code]
6. Image fusion based on generative adversarial network consistent with perception [Perception-GAN(IF 2021))] [Paper] [Code]
7. Semantic-supervised Infrared and Visible Image Fusion via a Dual-discriminator Generative Adversarial Network [SDDGAN(TMM 2021)] [Paper] [Code]
8. AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks [AttentionFGAN(TMM 2021)] [Paper]
9. GAN-FM: Infrared and Visible Image Fusion Using GAN With Full-Scale Skip Connection and Dual Markovian Discriminators [GAN-FM(TCI 2021)] [Paper] [Code]
10. Multigrained Attention Network for Infrared and Visible Image Fusion [GAN-FM(TCI 2021)] [Paper]
11. Infrared and Visible Image Fusion via Texture Conditional Generative Adversarial Network [TC-GAN(TCSVT 2021)] [Paper] [Code]
12. Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration [UMF-CMGR(IJCAI 2022)] [Paper] [Code]
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