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Confusion about the inverse-depth-smooth-loss #23
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Hi @SJoJoK, Good catch! Equation 4 is indeed confusing. I will update the draft to align with the code. |
Got it, thanks for the information : ) |
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Hello! I'm currently doing some research on NeRF, and I found your work SinNeRF.
It's an awesome work, and I download the code (in this repository).
While reading the code, I found that you use
kornia.losses.inverse_depth_smoothness_loss
to calculate the "self-supervised inverse depth smoothness loss" which you describe in the paper (equation 4) .The conflict is that, while
kornia.losses.inverse_depth_smoothness_loss
using the first-order gradient of the RGB Image according to the official document and its source code, the equation in paper use the second-order gradient of RGB Image.Thanks for any advice and help.
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