vid2vid

It's in the paper -> https://github.com/NVIDIA/vid2vid/blob/master/README.md

If you have any doubts that the face synthesis one is faked (faked fake?), watch the face of the woman in the bottom left as it loops. https://github.com/NVIDIA/vid2vid/blob/master/imgs/face.gif

Well, first, Nvidia has a good track record. This is not their first video-to-video paper, and they've also released impressive things like ProGAN; they release not just the source code, but trained models as well. People have trained their own models (slowly) and poked at the released models. The average result might not be quite as good, but they'll be close. Second, in this case, they've also released source code and the trained models. The trained models aren't in the Github repo, but hosted on Google Drive and they provide scripts for downloading them: https://github.com/NVIDIA/vid2vid/tree/master/scripts If you are doubtful, simply install Pytorch, download the models, and give the video generation a try. (You don't need a GPU, even, since for generating some samples once, a CPU will be acceptably fast.)