Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".
Why do you have a square root term here, this doesn't correspond to Eq. 2 in the paper?
For the hyperparams you supply in the paper are they with this sqrt loss or the one from your paper?
It would also be great to see implementations of the gradient loss term too if you can.
Awesome work, this is a fantastic concept. I had a question about the loss:
https://github.com/lixx2938/MegaDepth/blob/f1ffe4ca8b6c49e55e36259ac34909de6c90a27b/models/HG_model.py#L116
Why do you have a square root term here, this doesn't correspond to Eq. 2 in the paper? For the hyperparams you supply in the paper are they with this sqrt loss or the one from your paper?
It would also be great to see implementations of the gradient loss term too if you can.
Thanks!