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DeMoN: Depth and Motion Network for Learning Monocular Stereo

CVPR 2017 • Benjamin Ummenhofer • Huizhong Zhou • Jonas Uhrig • Nikolaus Mayer • Eddy Ilg • Alexey Dosovitskiy • Thomas Brox

In this paper we formulate structure from motion as a learning problem. We train a convolutional network end-to-end to compute depth and camera motion from successive, unconstrained image pairs... (read more)

PDF Abstract CVPR 2017 PDF CVPR 2017 Abstract

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lmb-freiburg/demon

507

SuryaKalia/AaltoVision

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DEPTH AND CAMERA MOTION

OPTICAL FLOW ESTIMATION

STRUCTURE FROM MOTION

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ShapeNet

NYUv2

Make3D

SUN3D

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