forked from mrq/DL-Art-School
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. |
||
---|---|---|
.. | ||
byol | ||
fixup_resnet | ||
flownet2@db2b7899ea | ||
glean | ||
improve_rrdb | ||
srflow | ||
styled_sr | ||
stylegan | ||
switched_conv@cb520afd4d | ||
tecogan | ||
transformers | ||
__init__.py | ||
arch_util.py | ||
discriminator_vgg_arch.py | ||
feature_arch.py | ||
ResGen_arch.py | ||
resnet_with_checkpointing.py | ||
RRDBNet_arch.py | ||
spinenet_arch.py | ||
srg2_classic.py | ||
SwitchedResidualGenerator_arch.py |