mlsanityData to 7 Oct 2026

DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion

arXiv 2003.09210 ↗First posted 20 Mar 2020eess.IV cs.CVcited by 72

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Abstract (arXiv)

Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images. This paper proposes a novel auto-encoder (AE) based fusion network. The core idea is that the encoder decomposes an image into background and detail feature maps with low- and high-frequency information, respectively, and that the decoder recovers the original image. To this end, the loss function makes the background/detail feature maps of source images similar/dissimilar. In the test phase, background and detail feature maps are respectively merged via a fusion module, and the fused image is recovered by the decoder. Qualitative and quantitative results illustrate that our method can generate fusion images containing highlighted targets and abundant detail texture information with strong robustness and meanwhile surpass state-of-the-art (SOTA) approaches.

Key facts. Cited by 72 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Mar 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 6; 2023: 20; 2024: 18; 2025: 16; 2026: 12.

72 papers.

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  1. 2022Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detectioncited by 313
  2. 2022CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusioncited by 222
  3. 2023DDFM: Denoising Diffusion Model for Multi-Modality Image Fusioncited by 153
  4. 2023Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentationcited by 128
  5. 2023Equivariant Multi-Modality Image Fusioncited by 98
  6. 2022Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registrationcited by 80
  7. 2024Fusion-Mamba for Cross-modality Object Detectioncited by 67
  8. 2022CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusioncited by 63
  9. 2024Task-Customized Mixture of Adapters for General Image Fusioncited by 59
  10. 2023Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusioncited by 54
  11. 2023A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusioncited by 47
  12. 2025Infrared and Visible Image Fusion: From Data Compatibility to Task Adaptioncited by 45
38 more
  1. 2024Image Fusion via Vision-Language Modelcited by 40
  2. 2024CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approachcited by 38
  3. 2023An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detectioncited by 36
  4. 2024MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusioncited by 35
  5. 2023Learning a Graph Neural Network with Cross Modality Interaction for Image Fusioncited by 28
  6. 2023Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyondcited by 26
  7. 2023PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentationcited by 26
  8. 2024Task-driven Image Fusion with Learnable Fusion Losscited by 24
  9. 2023BiBench: Benchmarking and Analyzing Network Binarizationcited by 22
  10. 2024E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detectioncited by 21
  11. 2023Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attackscited by 18
  12. 2023Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registrationcited by 17
  13. 2023ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learningcited by 15
  14. 2024MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Trainingcited by 15
  15. 2025WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detectioncited by 14
  16. 2023MMSFormer: Multimodal Transformer for Material and Semantic Segmentationcited by 12
  17. 2024U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentationcited by 12
  18. 2024RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusioncited by 9
  19. 2025Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidancecited by 9
  20. 2024S4Fusion: Saliency-aware Selective State Space Model for Infrared Visible Image Fusioncited by 8
  21. 2024Conti-Fuse: A Novel Continuous Decomposition-based Fusion Framework for Infrared and Visible Imagescited by 8
  22. 2025A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarkingcited by 8
  23. 2025Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysiscited by 7
  24. 2024SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusioncited by 6
  25. 2024Test-Time Dynamic Image Fusioncited by 6
  26. 2025Multispectral State-Space Feature Fusion: Bridging Shared and Cross-Parametric Interactions for Object Detectioncited by 6
  27. 2022A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Countingcited by 5
  28. 2023A Multi-scale Information Integration Framework for Infrared and Visible Image Fusioncited by 5
  29. 2026UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservationcited by 5
  30. 2022BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performancecited by 4
  31. 2023IAIFNet: An Illumination-Aware Infrared and Visible Image Fusion Networkcited by 4
  32. 2024DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusioncited by 4
  33. 2024Why mamba is effective? Exploit Linear Transformer-Mamba Network for Multi-Modality Image Fusioncited by 3
  34. 2025Cross-modal Offset-guided Dynamic Alignment and Fusion for Weakly Aligned UAV Object Detectioncited by 3
  35. 2025FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolutioncited by 3
  36. 2023A Dual Domain Multi-exposure Image Fusion Network based on the Spatial-Frequency Integrationcited by 2
  37. 2024A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusioncited by 1
  38. 2025Dream-IF: Dynamic Relative EnhAnceMent for Image Fusioncited by 1

50 most cited of 72 All 72 (JSON)