search

UBCDingXin / improved_CcGAN

Continuous Conditional Generative Adversarial Networks (CcGAN)
https://arxiv.org/abs/2011.07466
MIT License
115 stars 34 forks source link

h5py issue #7

Closed ShenMinSM closed 2 years ago

ShenMinSM commented 2 years ago

Hello ! I am a phd student(not cs) studying GAN in China! I'm new to machine learning. Thank you so much for the great paper and code! I wonder are there any references to the code of concat method?

UBCDingXin commented 2 years ago

Thanks for your interest in our work. cGAN (concat) is our modification of conventional cGANs. We don't have reference for it.

ShenMinSM commented 2 years ago

Thank you for you reply and great work again! I will keep studying your code and learning from your novel method, which is helpful for my research~