Comments (2)
akanimax
commented on July 19, 2024
@TropComplique!
Thanks a lot for sharing your implementation 😄. I have starred ⭐ your repo!
Your results on the dresses dataset are nice. I find it cool that you used the styleGAN architecture with MSG-GAN.
Even I am working on something very similar ... 😄.
Here is a small teaser of what is coming ...
Will be releasing this code soon.
Cheers 🍻!
@akanimax
from bmsg-gan.
TropComplique
commented on July 19, 2024
The teaser looks very delightful.
And thanks for your good work.
from bmsg-gan.
Related Issues (20)
- When you update this repo with styleGAN HOT 1
- What are the parameters for CIFAR10 dataset? I have been training with lr=0.003, betas=(0,0.99). Even after 5 epochs, I am not getting recognizable results at any resolution.
- pretrained models
- I want to stop and resume the training continuously. HOT 3
- Would you add compute IS and FID code ?? HOT 1
- Why output of torch.cat() is still C channels??
- WGAN-GP for Training MSG_ProGAN is failed HOT 3
- demo.py
- I got HOT 1
- Model collapse HOT 5
- Why smaller batch size results better results? With the epochs increased, the G loss went up? HOT 1
- when I train the model ? The d_loss is always 0.0 ? Is there some problems ? HOT 4
- WGAN-GP loss: averaging penalties or not?
- Can't load images | KeyError: 'SM_CHANNEL_TRAINING' HOT 2
- Error(s) in loading state_dict for DataParallel in generating_samples.py
- How to process the resolution of Flower dataset
- Question regarding higher resolution generation HOT 1
- Question about projecting generated images back to latent space
- MSG-cycleGAN HOT 3
- Msggan quality results
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