Answers.Body: <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>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-01-26T10:10:27.073Z
Answers.LastActivityDate: 2023-01-26T10:10:27.073Z
Answers.UserDisplayName: Robin van Hoorn
Body: <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>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-01-26T17:21:07.223Z
Comments.Text: What do you mean by "implement a lecture"?
Comments.UserDisplayName: nbro
Tags: <deep-learning><generative-adversarial-networks><variational-autoencoder>
Title: Combination of VAE with GAN
UserDisplayName: Pedram Yazdipoor
ThreadText: # 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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