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Hi , First of all thanks for the implementation.
I have tried to train PixelSNAIL-bottom/top prior for 256(imagenet) and 512(gaming) resolution images but I found that both the models are causing o…
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Hi @vvvm23,
I saw your code today, it is novel and inspiring an I benefited a lot from it.
I'm sorry to bother you, but could you upload the .pt file you learned with pixel snail?
Since I want to…
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Hi! I'm failing to understand the function of PixelSnail. **Is it to generate a latent space similar to a GAN?**
I trained VQVAE correctly (until the samples were good enought):
`python train_vq…
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Hi,
I am training the PixelSNAIL network with 128x128 image sizes and currently having the runtime error below:
```
background = self.background[:, :, :height, :].expand(batch, 2, height, width…
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Hi,
just now I successfully ran the train_pixelsnail.py on the top levels (size: 8×8) of my own dataset, which consists of 300,000 encoded outcome from images (size: 64×64) of different sizes, rotati…
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Hi,
I ran the code as you suggested and completed all 420 epochs for hier top and bottom but the generated results are not good, you can see below. Please suggest me what should I do to generate go…
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| Model | MNIST | Fashion MNIST |
--------|--------|--------------|
| NICE| 4.36| - |
|MADE| 2.04| - |
| IAF-VAE | - | - |
|MAF| 1.89| - |
|Real NVP| 1.06| - |
|Glow| 1.05 | - |
|FFJORD| 0.99 …
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first of all, thx for implementation!
the question is about proper masking inside the model
1. shift_down and shift right in the beginning of PixelSnail module have already taken care of masking…
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I am using 4x Nvidia V100 and I am not able to get a batch size larger than 32 for the hyperparameters of this paper for training on the top codes. I have also changed the loss to discretized mixtures…
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Thanks a lot for this repo!
quick question: once i train on your image set - can i somehow then use the model to estimate the probability that a new image is from the same distribution of the trainin…