Comments (2)
Your understanding is correct. Note that the number of "samples" here is comparable to other DDPM on the same dataset. Maybe, the number of epochs is not interpreted the same way as in a classification model when you are dealing with a generative model?
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Your understanding is correct. Note that the number of "samples" here is comparable to other DDPM on the same dataset. Maybe, the number of epochs is not interpreted the same way as in a classification model when you are dealing with a generative model?
Hi, may I know your training time in total for your DiffAE on FFHQ256?
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Related Issues (20)
- Why use zero_module? HOT 2
- Configuration of the experiment -- attribute manipulation on real images HOT 4
- what is the input of conditional DDIM decoder? HOT 6
- how to visualize the reconstruction result
- Inquiry about using Guided-Diffusion parameters HOT 2
- How to determine cond_fn in condition_mean HOT 4
- I got the issue about lmdb: lmdb.Error: ffhq256.lmdb: No such file or directory HOT 7
- Regarding the error I met when I try to run the run_bedroom128.py HOT 4
- Difference in Model Weights HOT 1
- I cannot access to URL for converting the datasets to LMDB format
- Extensive GPU Usage for Manipulation HOT 1
- Issues with Conditional Sampling HOT 3
- about the partition of training and validation sets HOT 1
- It looks like z-sem is not being trained HOT 9
- an error occurred during evaluation. HOT 3
- the setting of use_inverted_noise
- Retraining for getting higher resolution Image
- Checkpoint
- log_sample after the batch training HOT 1
- How is the autoencoding happening in the code during inference?
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