This chapter expounds on the fundamental principles of the classic multi-view 3D reconstruction and deep learning-based 3D reconstruction methods, elucidating the domestic and international research landscape, dissecting their strengths, weaknesses, and suitable scenarios, while also presenting various technical cases pertinent to 3D reconstruction (including depth information estimation, 3D object modeling, and 3D scene reconstruction), ultimately concluding with a comprehensive summary of the chapter’s content.