Comments (5)
Newbeeer
commented on July 21, 2024
I observed the FID of EDM fluctuates largely. Did you report the lowest FID among checkpoints?
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Zyriix
commented on July 21, 2024
I observed the FID of EDM fluctuates largely. Did you report the lowest FID among checkpoints?
I found this in some papers that try to retrain Edm. I got the lowest FID(2.04053) at around 16w ckpt.
I think the fluctuation is caused by lower ema rate and larger learning rate.
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yuanzhi-zhu
commented on July 21, 2024
@Zyriix To calculate FID we have to first generate, saying 50000 samples. The random seed can influence the generation process of these samples hence the FID value I guess
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Zyriix
commented on July 21, 2024
@Zyriix To calculate FID we have to first generate, saying 50000 samples. The random seed can influence the generation process of these samples hence the FID value I guess
Most works use the same sample seeds just like this repo:
049999, 5000099999, 100000~149999
and report the lowest one.
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Liyuan-Liu
commented on July 21, 2024
--arch=ncsnpp performs much better than VP architecture
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Related Issues (20)
- Wrong beta_D coefficient for VP during sampling? HOT 1
- How to select options shown in Table2 for training VP/VE models HOT 1
- DataLoader worker (pid xxxx) is killed by signal HOT 1
- .
- Is the original loss of VP/VE implemented (i.e. network predict epsilon)? HOT 1
- params[x] in this process with sizes [x, x] appears not to match sizes of the same param in process 0 HOT 2
- Is it possible to also share the code for Figure 3 in the paper HOT 1
- VP checkpoints are trained using VE-scaling? HOT 2
- About the Checkpoint
- Could you please provide us imagenet-uncond checkpoint?
- Question about Augmentation HOT 1
- ERROR when using multi-gpu training HOT 7
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- On checkpoint for 256*256 images
- Different Phases of Sampling
- About hyper-parameters selection
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- Is it possible to also share the code for Figure 1b (ideal denoiser outputs) in the paper
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