cd models
# The VGG-19 network is obtained by:
# 1. converting vgg_normalised.caffemodel to .t7 using loadcaffe
# 2. inserting a convolutional module at the beginning to preprocess the image
# 3. replacing zero-padding with reflection-padding
# The original vgg_normalised.caffemodel can be obtained with:
# "wget -c --no-check-certificate https://bethgelab.org/media/uploads/deeptextures/vgg_normalised.caffemodel"
wget -c https://s3.amazonaws.com/xunhuang-public/adain/decoder.t7
wget -c https://s3.amazonaws.com/xunhuang-public/adain/vgg_normalised.t7
cd .. 

cd models
# The VGG-19 network is obtained by:
# 1. converting vgg_normalised.caffemodel to .t7 using loadcaffe
# 2. inserting a convolutional module at the beginning to preprocess the image
# 3. replacing zero-padding with reflection-padding
# The original vgg_normalised.caffemodel can be obtained with:
# "wget -c --no-check-certificate https://bethgelab.org/media/uploads/deeptextures/vgg_normalised.caffemodel"
wget -c https://s3.amazonaws.com/xunhuang-public/adain/decoder.t7
wget -c https://s3.amazonaws.com/xunhuang-public/adain/decoder-content-similar.t7
wget -c https://s3.amazonaws.com/xunhuang-public/adain/vgg_normalised.t7
cd .. 

Add decoder trained with smaller style weight
Add decoder trained with smaller style weight