Issue learning latent encoding for new faces about interfacegan

[ShenYujun]

@Voyz Yes, the code will be public for sure. For now, we still have some work in submission, but a more powerful GAN-related toolkit is coming soon!!

[ShenYujun]

@Voyz We may release the code in March. Thanks for your interest and patience.

[ShenYujun]

You can try to extract VGG features from a fixed input image using both stylegan-encoder and your own pytorch version to check whether these two tools give same output.

Also, does the loss descend normally during the optimization procedure?

[njordsir]

Original:

Learnt and generated with stylegan-encoder:

Learnt and generated with code above:

The loss does reduce but stabilizes early. The comparison above is with SGD optimizer and learning rate = 1. Other optimizers and lr give similar or worse results.

Maybe this has something to do with differences in optimizer implementations for pytorch and tensorflow/keras and this is just an issue of finding the right hyperparamters to train, but I have had no luck so far.

[ShenYujun]

The loss value from top and bottom figures are clearly different. Can you test whether VGG models from tensorflow/pytorch version give same response to same image? I suggest taking this test as the first step of debugging.

[ShenYujun]

We will support the inversion function in the future version soon. Close this issue for now.

[Voyz]

Hi @ShenYujun - is there any indication as to when the inversion function will be made public? We await it with anticipation!

[Voyz]

@ShenYujun That's absolutely wonderful news, thanks! Out of interest, would you be able to give an approximate release date?

[Voyz]

@ShenYujun Thank you, appreciate the reply. We truly admire your work, massive kudos for what you've achieved so far! Looking forward to seeing more!