can you share hyper-parameter ?

[taki0112]

Hi I'm interested your paper So I'm reproducing the CartoonGAN

However, I don't know hyper-paramter in detail.. like weight initialization.. (xavier ? gaussian?) I want to know hyper-parameter information

1. Optimizer (if Adam, what beta1, beta2` ?)
2. Weight initialization
3. Use l2 regularization (weight decay) ?
4. Data augmentation
5. Normalization function in discriminator (batch norm? layer norm?)
6. Loss function (general gan loss ? or lsgan loss like cyclegan ?)

and can you share the animation dataset used in your paper?

Thank you !

[Yijunmaverick]

@taki0112 Sorry, this is not my work. You can ask authors for details.

[taki0112]

@Yijunmaverick I have a question about vgg's conv4_4 feature map. Is this a feature map after relu? Or is it a feature map before relu?

[FlyingGoblin]

@Yijunmaverick before relu. I am sorry I didn't clean up my code because of the graduation. I will try my best to upload my code in this month. For the photo, all the images in our paper are from CycleGAN: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix (XXX2photo). Because all the cartoon images are from films, I don't think I have the right to upload them. I don't know if there will be any copyright problem， I am sorry.

[Yijunmaverick]

@taki0112 Check the author's reply above

[FlyingGoblin]

@taki0112 the code: https://github.com/FlyingGoblin/CartoonGAN, sorry for the delay