Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
MIT License
6.17k
stars
1.05k
forks
source link
Do the number of images in trainA and trainB need to be the same? #90
I create a dataset by myself, but the number of samples in trainA and trainB are different, I have read the code. And it seems that it to be okay to handle this situation, but I wonder if this will affect the final result?
I create a dataset by myself, but the number of samples in trainA and trainB are different, I have read the code. And it seems that it to be okay to handle this situation, but I wonder if this will affect the final result?