Quote from EmbersArc »Thanks!
I can't take full credit of the source code. It's based on this implementation on github: https://github.com/moxiegushi/pokeGAN. I added things like gradient penalty for improved training, changed the architecture to handle the different input/output, added dropout, improved output processing etc.
I don't mind sharing it. Just give me a few days to find some hyperparameters that give the nicest results. I only have access to the GTX 1070 during the weekends unfortunately. The GTX 680 doesn't have enough memory...
Here's the latest batch with lower dropout rate: https://imgur.com/a/G0yFY
Are you in touch with the people running @roborosewater? Do you know if it's still actively being worked on?
Quote from moosemoose5217 »
These are awesome. Do you think I could get a zip file with these images? I just grabbed 200 images for a set but don't want to do it again for another set.
Quote from EmbersArc »
Sure, 3000+ images fresh from the oven: https://www.dropbox.com/s/udj71rp2y56tu47/output.zip?dl=0
Here's a little experiment. I made a video by changing the input to the generator slightly over each frame. The result is some kind of AI lava lamp: https://gfycat.com/FluidFlawlessIndianjackal
Quote from Steel_Angel »Is anyone still either actively doing this, or at least willing to help me out with this? I know it's kinda a dead post, but I'm just picking it up now and I'm running into some difficulties... reaching out for some help...