More of a Question than Issue

[TouqeerAhmad]

So, for each image-text or video-text pair, Text2LIVE would learn a GAN and then essentially can generate the pretty output for that specific image.

My question is with respect to generalization. If I learn a GAN model for the Giraffe-StainedGlass pair, would it generalize to other videos of Giraffe, or applicable to only the video on which the GAN is learned? And how is it practical to generate a single GAN for each pair of image/attribute, e.g.,

Bear+Fire
Man+Smoke
Car+Fire
Coffee Cup + Latte art heart
etc.