Minguk Kang

After downloading a pre-trained checkpoint, CUDA_VISIBLE_DEVICES=0 python3 src/main.py -cfg CONFIG_PATH -save SAVE_DIR -ckpt CKPT_PATH -sf will lead you to watch awesome results.

I will reflect the suggestion by Alex ASAP. Thank you.

Can you do the process again after pulling the master branch to your local? Thanks.

Actually, training GAN would try the patience of job. I trained BigGAN and ReACGAN on ImageNet for a month, respectively (please refer to the appendix H of ReACGAN paper). Training...

Hi Si-An, Congratulations on your great work being published in Neurips 2021. I saw your paper (ECGAN) published in arXiv yesterday, and I am so happy since I remember you...

Thank you so much. I hope to see you at an offline conference someday.

I was expecting to get better results with fewer classes and higher resolution. However, the fid is not converging yet. Now it's 40% of training and the FID is 152...

thank. I will reflect this ASPA. Thank you for your kind reporting.

For me, it works well. Could you please give me more information about your situation? By the way, I used the following command: ``` CUDA_VISIBLE_DEVICES=0 python src/main.py -cfg "./src/configs/CIFAR10/SAGAN.yaml" -hdf5...

The code works well even if it isn't none.