With the advancement of communication networks and smart devices, users’ demand for high-definition and strong stereoscopic videos is steadily increasing. As a significant audiovisual innovation, 3D video technology has profoundly changed the way people watch movies, play games, and interact. However, due to the inclusion of more information such as depth and color, 3D videos have a larger amount of data compared to 2D videos. It poses challenges for the transmission, storage, and playback of high-quality 3D content. Therefore, 3D videos compression is very essential. 3D videos are usually represented in two forms: point cloud and texture mesh. This article mainly reviews the compression traditional methods for these two forms of 3D videos. The mainstream 3D point cloud compression traditional techniques can be categorized into methods based on 2D planar projection and direct exploitation of 3D correlations methods. Among these, The two most common methods are video-based point cloud compression (V-PCC) and geometry-based point cloud compression (G-PCC). In contrast, research on 3D video compression in the form of texture mesh remains relatively scarce.