Create 3D model from a single 2D image in PyTorch.

In recent years, Deep Learning (DL) has demonstrated outstanding capabilities in solving 2D-image tasks such as image classification, object detection, semantic segmentation, etc. Not an exception, DL has showed tremendous progresses in applying it to 3D graphic problems. In this post we will explore a recent attempt of extending DL to the Single image 3D reconstruction task, one of the most important and profound challenge in the field of 3D computer graphics. A single image is only a projection of 3D object into a 2D plane, so some data from the higher dimension space must be lost in the lower dimension representation. Therefore from a single-view 2D image, there will never be enough data construct its 3D component.