Open loboere opened 3 years ago
If I am not wrong e4e is pretrained on 1024 resolution GAN, so it wouldn't work directly since I am using a 256 resolution GAN. However, my method should generalize to 1024 resolution GAN, so I can see you working with e4e that way.
I used origin latent projected by face.pt with a real world image, and got a nice result:
real world image | projected image as input | generated reference image | output styled image
This is very cool and works better than I imagine. Did you use the projector.py code to do GAN inversion?
yes, the projector.py code in rosinality's project. but i got bad results with your train.py code on disney dataset: [sample_disney/010000.png]
Did you start training with face.pt?
yes, the early model results are normal, such as 1000iters.
try using early model then. IIRC, this model I uploaded is only 2k iterations.
is possible load a e4e latent?