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Paper & source: progressive growing of gans

Open b4nn3d opened this issue 6 years ago • 4 comments

They officially recently ported this in tensorflow, results are 1024*1024 photorealistics images.

paper (nvidia research) paper (arxiv) source video

btw, they train with telsa V or P (16gb vram), I guess we should tuning down to 256 or 512. But the idea of progression of gans its really cool (and time saving in training)

b4nn3d avatar Apr 24 '18 10:04 b4nn3d

minimum req: 16GB of video ram.

iperov avatar May 20 '18 09:05 iperov

Only if you go at 1024*1024 resolution.. in the official repo there is a benchmark tool, you can try by yourself

b4nn3d avatar May 20 '18 11:05 b4nn3d

but how it can be used in face swap task ?

iperov avatar May 28 '18 18:05 iperov

This is easy to use in face swap. While yes, as it stands this paper's results would need to be tweaked to fit. Right now, faceswap's GAN is broken anyway. I'll actually be at CVPR and will be attending this talk so I'll see if I can ask them some questions on this topic.

bryanlyon avatar Jun 15 '18 00:06 bryanlyon