Comments (6)
Hi there, thanks for your interest! The training time is almost the same as the original StyleGAN2 and even slightly faster than StyleGAN2-ADA, though the times are all similar.
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您好,感谢您的关注!训练时间与原始 StyleGAN2 几乎相同,甚至比 StyleGAN2-ADA 稍快,尽管时间都差不多。
Hello, I see "augment_pipe" replaced with "diffusion" in many places in the code of diffuse-stylegan2. What does this mean? Is "augment_pipe" deleted? I wonder if you know a job named as deceive D . I want to combine this pseudo-enhancement method with diffuse-Stylegan2, but I don't know how to start. I would like to ask for your help!
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What I understand is to add diffusion in an adaptive way to D, is that right?
from diffusion-gan.
Yes, diffusion
object replaces the original augment_pipe
object, while they have similar functionality just with different name. The original ADA augment_pipe
is moved to the `training/adaaug.py`` file, which could be combined with diffusion.
To combine diffusion with other augmentation method, you could have a look at the training/diffusion.py
file, https://github.com/Zhendong-Wang/Diffusion-GAN/blob/main/diffusion-stylegan2/training/diffusion.py#L137-L144
https://github.com/Zhendong-Wang/Diffusion-GAN/blob/main/diffusion-stylegan2/training/diffusion.py#L186.
Yes, adding diffusion in an adaptive way to D is the simplest plug-in, which we found also have good performance. You could also try to add the t embedding
from diffusion into the discriminator input.
from diffusion-gan.
Thank you again for your guidance on my study and work, and thank you very much for your excellent work.
I was able to successfully apply the diffusion to my baseline work, although the diffusion might conflict with the work (https://github.com/genforce/insgen) .
I wonder if you could add a training option such as -- Diffuion =false/true
from diffusion-gan.
I think you could add that easily by yourself. :)
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Related Issues (20)
- Conditioning signal in Diffusion ProjectedGAN HOT 2
- diffusion.py HOT 3
- No module named 'upfirdn2d_plugin' HOT 5
- AssertionError: Default process group is not initialized HOT 1
- RuntimeError: Both events must be recorded before calculating elapsed time. HOT 3
- ninja: build stopped: subcommand failed. HOT 5
- Error while running train.py HOT 3
- 'tuple' object is not callable HOT 1
- how to lower fid? HOT 2
- Use Diffusion-GAN in Other GAN Architecture HOT 2
- How to use Diffusion-GAN in GP-UNIT
- A tiny question in diffusion.py HOT 2
- FID discrepancy HOT 3
- Application HOT 1
- about the value of target HOT 1
- regarding the setting of the hyperparameter "ada_kimg" HOT 4
- grid_sampler_2d_backward() is missing value for argument 'output_mask'.
- How to modify discriminator to incorporate diffusion timestep t?
- Questions about adaptive diffusion. HOT 2
- About the dataset preprocessing HOT 1
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