PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation

Densely estimating the depth of a scene from a single image is an ill-posed inverse problem that is seeing exciting progress with self-supervision from strong geometric cues, in particular from training using stereo imagery. In this work, we investigate the more challenging structure-from-motion (SfM) setting, learning purely from monoc...More