Closed zhang-lingyun closed 3 years ago
Thank you for your interest in our work and sorry for the late reply.
In the experiments of the paper, all StyleMapGAN variants at 256 x 256 are trained for two weeks on 5M images with 2 Tesla V100 GPUs using a minibatch size of 16. So it's about 320K iterations. Please refer to the Training section in Appendix C (Implementation details).
We offered the pretrained networks trained on 20M images for better reconstruction results. But the 5M-trained-network is enough for reconstruction and better in a random generation.
thanks for your reply
Thank you for publishing the code. Your work is very impressive. I wonder how many iterations do you use to train the model?I noticed that the default is 1,400,000. Is this value for all your training datasets? 1400000 training iterations a bit too long, I am curious if there is a small number of training iteration.