3D Reconstruction from A Single Image

3D reconstruction is a field of computer vision. The last decade has seen great interest in multi-images 3D reconstruction, and proposed some classic algorithms such as SFM(surface from motion)[1]. But 3D reconstruction based on a single image is a long-standing and difficult problem due to great information loss from 3D to 2D. With the rise of neural networks and deep learning, people began to realize that neural networks could be trained to learn the three-dimensional structure of objects in a single image. 3D reconstruction is divided into scene reconstruction, and object reconstruction, this paper mainly discusses the reconstruction of objects. The purpose of this paper is to briefly summarize the major challenges in this field, research progress and potential research directions.