DeepV2D: Video to Depth with Differentiable Structure from Motion

Zachary Teed, Jia Deng

We propose DeepV2D, an end-to-end deep learning architecture for predicting depth from video. DeepV2D combines the representation ability of neural networks with the geometric prin…