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Hi,
I'm using your implementation to generate MRIs. I have trained a VQ-VAE to reconstruct 3D MRIs, but I am unsure about which vectors to use for training the PixelCNN for sampling.
I attempted…
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Using @EiffL 's code we will create a source that uses a PixelCNN to constrain morphologies.
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Hi @galleibo-intel and team,
I am trying to create a Gated PixelCNN embedder for images and train it jointly with the RL model. While creating the 'layer' is kinda straightforward, now I face the …
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Hi,
I'm trying to import Pixelcnn++ (https://github.com/openai/pixel-cnn) into Lucid, specifically the pretrained cifar10 version. I've tried using both the current API and the experimental one doc…
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Thanks for this very important work.
I'm trying train Image Transformer as one layer flow and have a few questions I hope you can help me with.
In [section 4](https://arxiv.org/pdf/2002.02547.…
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The PixelCNN learn to model the prior q(z) in the paper and the code. For any given classes/labels, PixelCNN should model their prior q(z), as shown in the code https://github.com/ritheshkumar95/pytor…
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After training prior with PixelCNN, during inference probabilities of codebook indices are calculated. There's a distribution sampler used to pick/sample a index instead of choosing the highest probab…
lb-97 updated
9 months ago
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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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This issue is to keep track of the development necessary to train generative models for use with Scarlet for deblending.
- [x] : Implement PixelCNN model in g2g
- [x] : Define training set propert…
EiffL updated
5 years ago