The pre-trained models and data provided are not sufficient to perform tests on the blender dataset about nerfactor HOT 3 CLOSED

The processed data are too large to be released, unfortunately, but your comment is fair; I can try releasing the shape and BRDF checkpoints, with which you will be able to generate lvis.npy, xyz.npy, alpha.png, normal.npy. Will that help?

from nerfactor.

It doesn't get any better than this. And I still have a question. Is only xyz.npy required if I want to perform test.py and render albedo with pre-trained nerfactor(including shape_ckpt, brdf_ckpt) ? normal.npy, lvis.npy and alpha.png is not necessarily prepared in advance and should be predicted by normal MLP and visibility MLP when test.

from nerfactor.

Yes, because unless you opt to take the NeRF shape as is (no further optimization on the geometry), normals and light visibility will be predicted by the trained model. Here's the line where the model predicts normals from xyz:

from nerfactor.