Comments (3)
teou
commented on July 30, 2024
1
no , i haven't done any experiments yet.
from other implementations , seems generator and discriminator is consuming the same sample from dataloader, that's how i got confused. ^_^
for example here:
https://github.com/dome272/VQGAN-pytorch/blob/main/training_vqgan.py#L55
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lucidrains
commented on July 30, 2024
1
@teou yup i know Dominic, very smart kid! i can take a peek at Robin's original implementation tomorrow and see if he did it the way you described. if he did, then let's just do that. however i don't think it makes that big of a difference either way
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lucidrains
commented on July 30, 2024
@teou yea, so actually it is intentional, as when i used to build GANs, i've tried it this way but didn't see better results
do you know if in the paper they did it the way you describe? and are there papers that show this makes a difference?
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Related Issues (20)
- Running with GAN raises RuntimeError HOT 8
- Discriminator loss converges to zero early in training HOT 9
- Large scale training HOT 17
- Running multi-gpu hangs after first step HOT 9
- Is there any requirement on the training images? HOT 3
- object has no attribute 'has_multiscale_discrs' HOT 2
- weights HOT 1
- Unsuccessful image reconstruction HOT 3
- expired discord invitation HOT 3
- pretrained weights
- Pixelated image reconstruction HOT 7
- ‘video_contains_first_frame’ in encoder HOT 1
- recon images is black HOT 9
- Question about casual 3d cnn HOT 1
- The configuration of training
- Is there anyone success to train this model? HOT 15
- Running multi-gpu training HOT 5
- About training steps and correctness. HOT 3
- Error while loading the states of optimizer in Trainer - def load(self, path)
- Is there any pretrained weights for debug? HOT 1
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