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

arXiv: Computer Vision and Pattern Recognition, 2019.

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Abstract:

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

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