SimpleRecon: A Computer Vision Framework that Produces 3D Reconstructions Without the Use of 3D Convolutions

3D reconstruction is a fundamental problem in computer vision. The goal is to infer the true geometry of an object or a scene given an image observation from an unknown camera viewpoint and/or under unknown lighting conditions. This is an important task for many applications like autonomous driving, augmented reality content placement, and robotic navigation. … Continue reading SimpleRecon: A Computer Vision Framework that Produces 3D Reconstructions Without the Use of 3D Convolutions