Oblique photography technique is of great significance for generating large-scale scenes. In order to address the issues of missing near-ground data and lack of internal structure in the real-world models generated solely based on this technique, this study explores two levels of research: the fusion of aerial and ground models, and the fusion of macro and micro models. Firstly, it reviews three main technologies: oblique photography, 3D laser scanning, and building information modeling. Then, it investigates the overall fusion processes and underlying technical principles (point cloud registration, data standards) at different levels. It compares and analyzes the advantages and limitations of relevant research and identifies their respective application scenarios. This study proposes two fusion technology frameworks to address the issues of real-world models under oblique photography, discusses the challenges faced by each framework, and provides prospects for their future development, aiming to serve as a reference for scholars in related fields.