论文

VideoFusion: A Spatio-Temporal Collaborative Network for Multi-modal Video Fusion and Restoration

DSPFusion: Image Fusion via Degradation and Semantic Dual-Prior Guidance

Mask-DiFuser: A Masked Diffusion Model for Unified Unsupervised Image Fusion

以掩码扩散模型统一建模多种无监督图像融合任务，现入选 ESI 高被引论文（前 1%）。

ControlFusion: A Controllable Image Fusion Framework with Language-Vision Degradation Prompts

C2RF: Bridging Multi-modal Image Registration and Fusion via Commonality Mining and Contrastive Learning

DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior

Image Fusion in the Loop of High-level Vision Tasks: A Semantic-aware Real-time Infrared and Visible Image Fusion Network

将语义感知与高层视觉任务反馈引入实时红外-可见光融合；入选 ESI 热点与高被引论文，并获 Information Fusion 2024 年度唯一最佳论文奖。

SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer

利用 Swin Transformer 建模跨域长程依赖，实现通用图像融合；入选 ESI 热点与高被引论文，并获 IEEE/CAA JAS 2023 钱学森论文奖。

PIAFusion: A Progressive Infrared and Visible Image Fusion Network Based on Illumination Aware

依据光照条件渐进融合红外与可见光信息，兼顾昼夜场景质量；入选 ESI 热点与高被引论文。

SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness

联合图像配准与语义感知融合，面向空间未对齐的多模态图像；入选 ESI 热点与高被引论文。

DIVFusion: Darkness-free Infrared and Visible Image Fusion

面向低照度场景抑制融合结果中的暗区并增强细节可见性；入选 ESI 热点与高被引论文。

Rethinking the Necessity of Image Fusion in High-level Vision Tasks: A Practical Infrared and Visible Image Fusion Network Based on Progressive Semantic Injection and Scene Fidelity

通过渐进语义注入与场景保真，将低层融合质量和高层视觉任务协同优化；入选 ESI 热点与高被引论文。

STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection

利用显著目标检测增强融合图像中的关键热目标与结构信息；入选 ESI 高被引论文（前 1%）。

Deep Learning-based Image Fusion: A Survey

DRLIE: Flexible Low-light Image Enhancement via Disentangled Representations

CAMF: An Interpretable Infrared and Visible Image Fusion Network Based on Class Activation Mapping

Infrared and Visible Image Fusion via Parallel Scene and Texture Learning