All Questions
Tagged with autoencodergan
7 questions
0votes
1answer
72views
How to train encoder in BiGAN?
I have some difficulties training a BiGAN. In particular, the encoder seems not learning the map between the images x and the latent space z. I have the following encoder: ...
- 21
0votes
0answers
38views
GAN model with different optimization functions
Building GAN model contains the following steps: Build generator model, and choose ...
- 689
0votes
1answer
118views
Image regression problem
I've tried a number of experiments with machine learning. From trying to use GANs to upscale images to playing with auto-encoders. There is one problem that haunts me and always ends up ruining my ...
1vote
0answers
177views
CycleGAN vs. AutoEncoder for transforming sketches into images
I'm playing around with the use of deep learning on images and done quite works : colorizing black and white images for example, or maybe fixing old damaged photos. Today I want to tackle a new ...
0votes
1answer
49views
Do I need to train a separate DeepFake model for every input person?
I would like to create a deep fake model of a specific person (we will call him Steve). I would then like to be able to upload a video of any random person and swap their face with Steve's. So far I ...
- 191
1vote
0answers
24views
How can one be assured that generative models are not memorizing dataset, and that they will generate an unique image outside of dataset?
If all GAN can do is capture the probability distribution of the dataset, then shouldn't they be similar to handing out images from the dataset? How can we verify that the images that they generate ...
3votes
1answer
1kviews
What is the purpose of the discriminator in an adversarial autoencoder?
This is specific to the generative adversarial network (GAN) proposed in A. Makhzani et al. "Adversarial Autoencoders". In a traditional GAN, the discriminator is trained to distinguish real samples ...
- 279
