Comments (3)
Not sure if add_to_input
function is included in this repo. To add images, you can implement your custom data loader. To add additional information, you need to modify the G and network definition.
from bicyclegan.
Thank you. I guess that in this repo the function add_to_input is represented by the class G_add_to_input in networks.py. However, no additional Information can be introduced into the discriminator. Is that actually the way how the network should work?
from bicyclegan.
Regarding discriminator, to add images, you can concatenate all your images into a single one and feed it to the discriminator (You need to also change the input dimensions when you construct the discriminator). To add additional information, you need to write a new discriminator.
from bicyclegan.
Related Issues (20)
- Why does not large batch size like 128, 256 work well?
- Hi, please help me.
- Very Large Images
- Why my LPIPS distance is larger than what your paper say? HOT 3
- Question about conditional_D implementation HOT 3
- Not clear in the difference between the two latent spaces predicted HOT 5
- Test on single images HOT 1
- Compute graph wrong and one question HOT 4
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- Metric reporting HOT 1
- Question about Encoder in cLR-GAN HOT 1
- Question about generating fake_B_random
- Question: Do you need two separate discriminators? HOT 2
- Incorrect discriminator update for opt.use_same_D HOT 1
- Regarding Training your Own Images HOT 4
- How to train on large images?
- Is there <pix2pix+noise> model code that can be directly run? HOT 1
- diversity question
- TypeError: __init__() got an unexpected keyword argument 'nl_layer'
- Regarding Latent Space Interpolation
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