Hi, and thank you for releasing the code for MoDGS — much appreciated!
I had a question regarding the metric scale evaluation described in the paper and code. Specifically, I would like to better understand how the depth prediction is scaled to match the scale of the poses provided in the poses_bounds.npy file. Could you please clarify:
- How is the scaling factor determined?
- How are the points selected for computing correspondences between the rendered image and the real one?
- Would it be possible for you to release the specific set of points used for scaling the DYNeRF dataset?
Thanks in advance for your time and help!
Hi, and thank you for releasing the code for MoDGS — much appreciated!
I had a question regarding the metric scale evaluation described in the paper and code. Specifically, I would like to better understand how the depth prediction is scaled to match the scale of the poses provided in the
poses_bounds.npyfile. Could you please clarify:Thanks in advance for your time and help!