Open C0SM00 opened 1 year ago
Thank you for your interest in our work.
We have not test our method with TensoRF, but you can try from the following aspects:
coordinate
of the function diff_operators.gradient
, the coordinate
should not be normalized, i.e. the coordinate
should be the same as when calculating the target gradient.Good luck!
I ran your original code with the command line python train.py --config configs/fern/val_der/sine.txt, but why didn't I observe a drop in der_loss?
Maybe you can check your reproduction as I said first.
By the way, TinyNeRF
and TensoRF are different implementations of INRs, i.e. frequency encoding and parametric encoding (from Instant-NGP), the activation function and the approximation capability of derivative may also have an impact.
I tried to reproduce your gradient supervision method on the Tensorf model, but the calculated rgb-to-coordinate gradient is not in the same order of magnitude as the target gradient. The former is around 1e-6, and the latter is around 1e-1. Excuse me. Is there a problem with reproduction?