What tricks do you guys use to train the model. I tried to rebuild the model based on your guys paper but when I tried to train it it crashes. On the paper you guys only mentioned that you guys used RMSprop optimizer with learning rate 3e-4. I don't feel that's enough to rebuild the model.
And How many epoches are needed for training. I trained the model with about 19000 training images for 20 epochs and the generated image are still kind of like merged faces.
I trained my model with gaussian noise now. But I don't know if you guys did that. And I tried to increase the proportion of LL loss on encoder loss, as the result the kl divergence stalk at about 1..
What tricks do you guys use to train the model. I tried to rebuild the model based on your guys paper but when I tried to train it it crashes. On the paper you guys only mentioned that you guys used RMSprop optimizer with learning rate 3e-4. I don't feel that's enough to rebuild the model.
And How many epoches are needed for training. I trained the model with about 19000 training images for 20 epochs and the generated image are still kind of like merged faces.
I trained my model with gaussian noise now. But I don't know if you guys did that. And I tried to increase the proportion of LL loss on encoder loss, as the result the kl divergence stalk at about 1..