About val data about bicyclegan HOT 5 CLOSED

1. The val folder is just for testing the network
2. Try cyclegan https://github.com/junyanz/CycleGAN , BicycleGAN adds bidirectional cycle-consistency losses to "discover multiple modes"

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@lxj616 Thanks for replying.
I tried cyclegan, the network can only generate one sample between domain A and B.
However, I want to generate many kinds of B from A, corresponding to diversity of B. The problem is a lot of B, but no A. Any idea of this?
I have another question, I was test BicycleGan on exist paired dataset. The generated B are diverse. But some images are quite strange like some net is added. Are there some way to deal with this?

|z|: 4 (Diversity is lost at |z|=2)

from bicyclegan.

See these two papers for the multimodal image-to-image translation in the unpaired case:
Augmented CycleGAN
MUNIT

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@junyanz Thanks for replying.
The MUNIT didn't work very well.
The dataset A contains only binary images like circuit pattern. Because of the diversity of the dataset B, I think it difficult to train the network only use the unsupervised learning.
Maybe I need to train the unpaired data using the pretrained network trained by paired data.

Now I try to add some data augmentation to increase paired dataset.

from bicyclegan.

Adding paired data often helps constrain the problem. Good luck with your project.

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