ade2732c82
This is a concept from "Lifelong Learning GAN", although I'm skeptical of it's novelty - basically you scale and shift the weights for the generator and discriminator of a pretrained GAN to "shift" into new modalities, e.g. faces->birds or whatever. There are some interesting applications of this that I would like to try out. |
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.. | ||
stylegan2 | ||
ui/image_labeler | ||
byol_extract_wrapped_model.py | ||
byol_resnet_playground.py | ||
byol_spinenet_playground.py | ||
compute_fdpl_perceptual_weights.py | ||
create_lmdb.py | ||
extract_square_images.py | ||
extract_subimages_with_ref.py | ||
extract_subimages.py | ||
recover_tensorboard_log.py | ||
rename.py | ||
srflow_latent_space_playground.py | ||
test_psnr_approximator.py | ||
tsne_torch.py | ||
use_discriminator_as_filter.py | ||
use_generator_as_filter.py | ||
validate_data.py |