Unsupervised Adversarial Depth Estimation using Cycled Generative Networks

Andrea Pilzer, Dan Xu, Mihai Marian Puscas +2

While recent deep monocular depth estimation approaches based on supervised regression have achieved remarkable performance, costly ground truth annotations are required during tra…