Adding noise to refined_depth_t vs gt_depth_t

Dear author,

Thank you so much for the amazing work and also providing guidance on how to work with your amazing repo.

I would like to convert the code from adding noise to refined_depth_t to working with GT gt_depth_t.

I just wanted make sure that I am doing it correctly: I need to change the following:

1. I need to use **ddim_loss_gt()** - this applies noise on gt_depth_t to get the ddim loss.
2. (Not sure about this) Change CNNDDIMPipeline - each inference step takes the denoised image from the previous timestep and adds more noise based on the current timestep. Do I use the gt_depth_t at each timestep to run denoising model? Or keep this part as is? The output of the loop is refined_depth_t.

Thank you so much in advance.
Best regards.