The aim of this research is to investigate methods for generating 3D images based on 2D images. The generation of realistic 3D images has numerous applications in fields such as computer graphics, virtual reality, and medical imaging. Traditional methods for creating 3D images often involve complex and time-consuming processes such as 3D modelling or 3D scanning. This research explores alternative approaches that leverage existing 2D images to generate 3D representations. The study delves into various techniques, including image-based rendering, depth estimation, and machine learning algorithms. The goal is to develop efficient and accurate methods for transforming 2D images into 3D representations, providing a valuable contribution to the field of computer vision and 3D graphics.