Why are inconsistent parameters set in general model config and fine-tune model config? about neuray HOT 2 CLOSED

1. Hi, both of them are supposed to be set to False. However, the pre-trained model uses the fine_dist_decoder_cfg with use_vis=True. This is a historical problem, in which I used to apply an additional "visibility" (not the visibility of NeuRay) term on the hit probability distribution. Such a "visibility" term almost has no effect on the rendering quality. So I set it to False afterward. However, it seems that I forget to delete them in pretrained models. Sorry for the messy codes.
2. use_self_hit_prob is used in training of fine-tuning not for the generalization model, which means we will decode the hit prob on the pseudo test views during training. In generalization training, such test views are not pseudo but real unseen test views.

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Thanks!

from neuray.