New to the scene and Faceswap is a great tool! I just started using it with about 7 hours of training, 120,000 or so iterations my results weren't great but I'm sure if I improved my data set and trained longer I could get better results (learn some other tricks from reading guides on here too).
But I'm curious about other options? I don't know where else to talk about this kind of stuff so if there is another more generic forum then please point me to it!
I believe there are solutions out there that take a single image and slap it onto any other face in a video. I'm not sure how good that method can be but I'm wondering if it is at least faster than the current process used with the Faceswap app? What is deterring me is the amount of time it takes to collect good data and process it.
But having the lead of "One Shot Faceswap" and googling I've come across some github repos which seem promising but I'm still figuring out how to use all this source and the documentation seems like it was only useful for the person who created it.
I've found this
The second one I managed to get up and running with the demo but again documentation is lacking so my results are really bad but it does it super fast! Seem to people to pick one source image and one video.
The first one I can't get running, it depends on another repo and I'm not sure what the repo from that link is even changing/adding or how to integrate it with Style GAN as it indicates is required.
So in short, I'm looking for faster, easier that gives pretty good results something like Reflect.tech used to do (I actually never used it but reading online it seems like it was really good and worked off just a single image?).
And more importantly if the research path I'm on is a lost cause I'd appreciate a sanity check here or if there are more modern/better leads? I'm sure if what I'm asking for existed everyone would be on it, but if it exists and its just a matter of figuring out how to execute I'd like to keep digging. I'm also a C++/C# developer so github isn't unfamiliar to me just python and machine learning are a new territory.