Image2StyleGAN Paper?

[puzer]

Image2StyleGAN Paper?

[nile649]

Using extra loss function doesn't changes anything regards to idea... unless it is a new loss function introduced to deep learning community. Many authors leave their work open to such improvements...

[UPML]

The paper refers to this repo, but in the paper they use better loss function for optimizer. They use weighted sum of losses from different layers of VGG, instead only 9's layer as is in this code.

[olivercoad]

The paper refers to this repo

The v2 version from September does actually include a reference.

[pbaylies]

@olivercoad I read that paper too; the loss function they end up with is a bit more complex, as they use both the L2 loss and several layers of VGG16; but one of their experiments (using a single layer of VGG16) is essentially the same as the solution in this repo, as far as I can tell. Also, they use Adam for the optimizer, and share the parameters they used for it.

[aarlo]

@Puzer Any thoughts on this? The results in the paper are really impressive.

[rom1504]

is there code for image2stylegan paper ?

[rom1504]

ok indeed based on what the paper says, it's really similar to this repo