Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos. (arXiv:2205.08851v1 [cs.CV])

Recently, much attention has been drawn to learning the underlying 3D
structures of a scene from monocular videos in a fully self-supervised fashion.
One of the most challenging aspects of this task is handling the independently
moving objects as they break the rigid-scene assumption. For the first time, we
show that pixel positional information can be exploited to learn SVDE (Single
View Depth Estimation) from videos. Our proposed moving object (MO) masks,
which are induced by shifted positional information (SPI) …

arxiv cv information pipeline videos