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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…
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FIrst of all, maybe it is my misunderstanding of the paper, so hope somebody could explain it for me, thanks! :
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in the paper, the loss is defined as
![Screenshot from 2022-08-30 11-52-26](…
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Hi ESM3 Team,
First of all, congratulations on your outstanding research work.
I am particularly excited by the VQ-VAE structure proposed in your model.
Upon examining your code and detailed ap…
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Hi!
Thank you for your great work. I would like to ask if your model can be used solely for encoder and decoder of VQ-VAE. Because my model work into latent space for my project.
If so, do you h…
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## Abstract
- propose Vector Quantised Variational AutoEncoder (VQ-VAE)
- generative model that learns discrete representations
- prior is learnt rather than static
- solves the issue of "po…
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Hi @hrbigelow
I am working on CPU+GPU .I got error while executing this command line
python train.py new -af par/arch.basic.json -tf par/train.basic.json -nb 4 -si 1000 \
-vqn 1000 $run_dir/…
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Currently, Hugo's binarized MNIST is slower and doesn't match the performance of MNIST thresholded at 0.5 in the VQ-VAE example. We should understand why this is happening and tune hyperparameters.
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Hi @krennic999
Thank you for your excellent work!
I am very interested in the high-quality and detailed human face images you demonstrated in your paper, like the ones below:
In this [iss…
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Hey thanks for the videos and codes, I am experimenting with conditional ldms.
Do you happen to have loss plots or logs of the loss? I have a feeling that the loss is decreasing really slowly or no…
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I have some questions regarding the implementation of MoVQ and would appreciate your clarification.
From the original MoVQ paper, it is mentioned that a multi-channle VQ is adopted.
![image](https…