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Tagged with variational-autoencoder computer-vision
3 questions
3
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2
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What is an appropriate size for a latent space of (variational) autoencoders and how it varies with the features of the images?
I am training an autoencoder and a variational autoencoder using satellite and streetview images. I have tested my program on standard datasets such as MNIST and CelebA. It seems that the latent space ...
- 33
4
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2
answers
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How to use a VAE to reconstruct an image starting from an initial image instead of starting from a random vector?
Is it possible to use a VAE to reconstruct an image starting from an initial image instead of using K.random_normal, as shown in the “sampling” function of this ...
- 41.4k
3
votes
1
answer
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How do you calculate KL divergence on a three-dimensional space for a Variational Autoencoder?
I'm trying to implement a variational auto-encoder (as seen in Section 3.1 here: https://arxiv.org/pdf/2004.06271.pdf).
It differs from a traditional VAE because it encodes its input images to three-...
- 628