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I mean training sample in
https://github.com/rosinality/vq-vae-2-pytorch/#stage-1
Even when I ran train_vqvae with my own data set, many image files in sample folder showed as duplicate.
Initia…
kimdn updated
4 years ago
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I was training the model with the default parameters set in the code over a small dataset (around 5k images) but cannot obtain any good results.
This is the generated output after sampling :
![vae…
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In the pixel snail paper, it is able to generate a conditioned sample with some global condition _h_
I am just wondering if it is able to do that in the current stage of implementation?
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Hi,
Sorry for bothering but I have following problem when trying to run train_pixelsnail.py on windows. I have succesfully trained the model and I have pretty good sample results from first step. T…
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@rosinality I am wondering if we could generate the results in section 4.4. We should create sequential context from latent frames, so we need a scheme to process latent frames - basically something l…
pravn updated
3 years ago
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Hello, first of all thanks for this interesting implementation of VQ-VAE 2 paper.
I can train this network on a dataset of mine, however reconstructed images are a little bit blurry. Quality is goo…
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Hello, Can your code implement conditional sampling?
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@robogast
Happy to report I was able to train a VQ-VAE using a dataset. Very cool to see - and kudos for the nice Tensorboard outputs you have in place! 😎
1. Do you have any suggestions or cod…
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Hi, thanks for the codebase.
I was wondering: the paper says the bottom latent code has dimension 64x64x8, and as I understand this is passed to HierarchicalPixelSNAIL.condition_bottom in the code.…
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I want to generate a picture of a specific class.