<p>What you describe is very similar to <a href="https://www.ijcai.org/proceedings/2019/0584.pdf" rel="nofollow noreferrer">VAE-GAN</a>. Take a look at the paper.</p>
<p>From what I remember from it, I think they couple a VAE to a GAN discriminator, which is functionally very similar to coupling a VAE encoder to a GAN, as the VAE decoder and GAN generator have lots of similarities.</p>

CC BY-SA 4.0
2023-01-26T10:10:27.073Z
2023-01-26T10:10:27.073Z
Robin van Hoorn
<p>I am going to implement a lecture which it aims to generate new images. It uses a variational autoencoder to produce latent vector and then feed it to a gan network as input. My question is, in variational autoencoder each dimension of latent vector is sampled from a different gussian distribution  (sigma,mu). But I guess the generator in gan, gets input from one gussian distribution, so the input is sampled from one sigma,mu pair. So,is this idea really sensible? Or I understood the input of gan wrongly?</p>

CC BY-SA 4.0
2023-01-26T17:21:07.223Z
What do you mean by "implement a lecture"?
nbro
<deep-learning><generative-adversarial-networks><variational-autoencoder>
Combination of VAE with GAN
Pedram Yazdipoor
# Combination of VAE with GAN

(Asked by: username_0 on 2023-01-25)

I am going to implement a lecture which it aims to generate new images. It uses a variational autoencoder to produce latent vector and then feed it to a gan network as input. My question is, in variational autoencoder each dimension of latent vector is sampled from a different gussian distribution (sigma,mu). But I guess the generator in gan, gets input from one gussian distribution, so the input is sampled from one sigma,mu pair. So,is this idea really sensible? Or I understood the input of gan wrongly?

**Tags:** deep-learning, generative-adversarial-networks, variational-autoencoder

> **Comments:**
> **username_1**: What do you mean by "implement a lecture"?  

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## 1 answers

### Answer by username_2 on 2023-01-26. Score: 0

What you describe is very similar to [VAE-GAN](https://www.ijcai.org/proceedings/2019/0584.pdf). Take a look at the paper.

From what I remember from it, I think they couple a VAE to a GAN discriminator, which is functionally very similar to coupling a VAE encoder to a GAN, as the VAE decoder and GAN generator have lots of similarities.


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