stylegan2-encoder-pytorch
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The Result
Hi The results of inversion seems not good as the paper. Did you know what the qusetion is?
Hi, I only qualitatively compared the results with the paper, and it seems like the encoder performance does not match with the original one while the inversion looks ok.
The original implementation used the StyleGAN1 model provided by Nvidia and the encoder was trained with batch size 128, whereas this repo uses the StyleGAN2 model implemented by rosinality and the encoder was trained with batch size 8 on a single GPU.
Thanks for your careful reply! And I have another question : Since I only have a single GTX2080Ti , training 1000000 iters will take 10 days! , which is too long for me. My task is inversion. Can I train 100000 iters and then do inversion?