Request to Update Code to Reflect Predicted Density Usage in FeatureNeRF.
Thank you for sharing your excellent work and making the code available! While studying the paper and the corresponding implementation, I noticed a potential inconsistency that I would like to clarify.
In the paper, it is mentioned:
"Further, in a particular encoder or decoder block, we use the density predicted by previous FeatureNeRF blocks to importance sample the points along the ray for the next FeatureNeRF block 90% of the times."
However, upon inspecting the code (specifically [this section](https://github.com/customdiffusion360/custom-diffusion360/blob/main/sgm/modules/diffusionmodules/openaimodel.py#L1054-L1077)), it seems that the predicted density from the previous FeatureNeRF blocks is not used for importance sampling.
If this is an oversight, could you please update the implementation to reflect the described behavior in the paper?
Thank you for your time and for the great work!