I was wondering if you could elaborate a bit more (or point to the code) that covers the following statement from your paper. In your paper you state,
"The input of the discriminator is an image/mask pair (either a real pair, or a synthetically generated pair)."
I have two questions about this:
What proportion of the neural style "synthetic database" were images generated from real image/mask pairs versus synthetically generated pairs?
What do you mean by "synthetically generated"? Sampled from probability distributions? Randomly generated binary encodings? etc? Could you describe this process a bit more or point me to code/portion of the paper that describes this step (I couldn't find it)?
I'm trying to test out your approach, but a bit more clarity on this section of the paper would be of great help.
Hi spreka,
I was wondering if you could elaborate a bit more (or point to the code) that covers the following statement from your paper. In your paper you state,
I have two questions about this:
I'm trying to test out your approach, but a bit more clarity on this section of the paper would be of great help.
Thanks! Tom O