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License: MIT License
Source code for the paper MGAN: Training Generative Adversarial Nets With Multiple Generators
License: MIT License
Thank you for the code,
how we can use this code on (x,y) tuples that for each x, the y values come from different normal distributions? both x and y are real values between 0-1
do you have another version of code for the synthetic data mentioned in the paper?
Regards,
Dear Mr Quan Hoang,
I am using your code and retrained it on the cifar10 dataset with your default setting.
I tested the inception score (using tensorflow inception model) of the learned model.
The score I got is around 7.00 instead of the 8.33±0.10 reported in your paper.
Attached are the sampled images after training 500 epochs.
Could you please let me know what I might do wrong or provide the training configuration that achieves your reported performance?
Thanks,
Hao He
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