forked from ecker/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. |
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| .. | ||
| 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 | ||