Comments (1)
This repo is designed for images of 28x28x1 (such as MNIST) and 32x32x3 (such as CIFAR-10). To directly use the repo for generation tasks, you might need to convert your images to one of those formats. That being said, it should be relatively straightforward to modify the architecture for other image resolutions and you are more than welcome to try and tune your own architectures!
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Related Issues (10)
- Question about adding noise to input
- Is it feasible to directly calculate the DSM loss function without scorenet estimation?
- Model in eval forever after the first log on validation HOT 1
- Baseline not converge HOT 1
- Error loading pre-trained checkpoints HOT 1
- Annealed GMM Analytical Log Probabilities
- About the condition in conditional score network HOT 2
- Why need adding noise twice HOT 2
- A question on convergence of DSM HOT 5
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