Hi
I learned to play with NST  and implemented some paper with Pytorch from scratch like Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Huang+, ICCV2017 1
My implementation is available from https://github.com/irasin/Pytorch_Adain_from_scratch 6.
Check it if you are interested in it. The output in my implementation looks well as the original paper.
However, I have two questions about the official torch implementation 2.

I don’t understand why used the vgg_normalised model so I just use pre-trained
vgg19 from torchvision.model.Is it OK?
I also want to know why used the ReflectionPad2D but not normal pad in the upsample layer of Decoder.

I will be very appreciated f someone could help me, thanks.
Best
edad