Learning Optical Flow, Depth, and Scene Flow without Real-World Labels
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DOI: 10.1109/lra.2022.3145057
Abstract: Self-supervised monocular depth estimation enables robots to learn 3D perception from raw video streams. This scalable approach leverages projective geometry and ego-motion to learn via view synthesis, assuming the world is mostly static. Dynamic scenes,… read more here.
Keywords: scene flow; depth scene; optical flow; flow ... See more keywords