Infrared polarization image fusion can fully utilize the polarization information of the scene, compensate for the disadvantage of infrared intensity images in describing high-frequency information such as scene contour edges and texture details, and has unique advantages in target detection and recognition, background noise suppression, and counter camouflage. The article summarized the research progress of infrared polarization image fusion technology from two aspects: single algorithm image fusion and multi-algorithm combination image fusion. It analyzed the design ideas of typical algorithms and summarized the advantages and disadvantages of each algorithm. Based on the current trend where single algorithm serves as the mainstream and multi-algorithm combination as the development trend for infrared polarization image fusion, this paper anticipates its potential future development direction.