Love the work you guys are doing in the progressive GAN space. Last year I did something similar to make a face-aging network, involving training an encoder to get an initial guess of a latent vector for someones face into the pgan space, and then relied on BFGS optomization to fine-tune the latent vector, followed by further fine-tuning of some intermediary layers of the generator network to really match the input pixels. I also snuck an affine transform layer in there allowing the network to shift the image around to better fit the target.

The results were .... eh .... okay, at least on my ugly face. https://twitter.com/RustBot/status/1044120159022022658

But overall, Im still tweaking. In the mean time, I've been focusing on static image analysis for aging research, but I hope to find better encoding schemes down the road.

https://twitter.com/RustBot/status/1058607878540472320