Improve PatchNCE with Self-Attention
./traini2i.py \
--outdir=./training-runs \
--name=fastae_v10_feat16_attn \
--dataroot=<dataset path> \
--netG=models.fastae_v10_networks.Generator \
--patch_max_shape=16,16 \
--num_patches=64 \
--nce_mlp_layers=0 \
--feature_attn_layers=2 \
--gpus=1 \
--batch=8 \
--snap=50 \
--kimg=1000
./gen_images_i2i.py \
--network=<snapshot path> \
--dataroot=<dataset path> \
--outdir=./out/i2iresults
Our codebase build and extends the awesome projected_gan