Two problems when training model to generate 128x128 about cips-3d HOT 1 CLOSED

1. Using this training opts:

--tl_opts curriculum.new_attrs.image_list_file datasets/ffhq/images256x256_image_list.txt \
      D_first_layer_warmup True reset_best_fid True update_aux_every 16 d_reg_every 1 train_aux_img True

2. Based on my experience in training stylegan, adding new layers in the pre-trained discriminator can work well in our case where the generator has already been able to generate reasonable images.

However, in the case where the generator is initialized randomly, it is most likely not to work. It is because the generator and discriminator are unbalanced in this case (the discriminator is much stronger than the generator).

from cips-3d.