Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras
We present a novel method for simultaneous learning of depth, egomotion, object motion, and camera intrinsics from monocular videos, using only consistency across neighboring video frames as supervision signal. Similarly to prior work, our method learns by applying differentiable warping to frames and comparing the result to adjacent ones, but …