train style vectors from scratch

[ishanic]

Hello,

Thanks for sharing your wonderful work with the community.

I have a question regarding the style vectors.
In the default training code, these vectors are loaded from a pre-trained model (checkpoint = 990000.tar).
Instead, to train both the NeRF and the style model from scratch, I call the run_nerf function with "--no_reload" and "--skip_loading" arguments.
However, this model does not seem to be converging as well as the expected checkpoint when loaded from the pre-trained style vectors.
Could you please provide instructions on how to train the model correctly from scratch (including the style vectors) without any pre-trained model weights?

Thanks!