Body: <p>GANs have shown good progress across a wide variety of domains ranging from image translation, image generation, text to image synthesis, audio/video generation, image super-resolution and many more.</p>
  
  <p>Although these concepts have great research potential, what are some real-world products or applications that can be developed using GANs?</p>
  
  <p>A few I know are drug discovery and product customization. What else can you suggest?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-04-08T13:27:46.303Z
Comments.Text: Some months ago, the state-of-the-art model for drug design was actually based on VAEs (rather than GANs).
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-04-08T23:23:26.273Z
Comments.Text: I'd advise having a look at [[2001.06937] A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications](https://arxiv.org/abs/2001.06937), especially the "Applications" section, 5.
Comments.UserDisplayName: ted
Tags: <deep-learning><computer-vision><applications><generative-adversarial-networks>
Title: What are some real-world products or applications that can be developed using GANs?
UserDisplayName: Aniket Velhankar
ThreadText: # What are some real-world products or applications that can be developed using GANs?
  
  (Asked by: username_0 on 2020-04-07)
  
  GANs have shown good progress across a wide variety of domains ranging from image translation, image generation, text to image synthesis, audio/video generation, image super-resolution and many more.
  
  Although these concepts have great research potential, what are some real-world products or applications that can be developed using GANs?
  
  A few I know are drug discovery and product customization. What else can you suggest?
  
  **Tags:** deep-learning, computer-vision, applications, generative-adversarial-networks
  
  > **Comments:**
  > **username_1**: Some months ago, the state-of-the-art model for drug design was actually based on VAEs (rather than GANs).  
  > **username_2**: I'd advise having a look at [[2001.06937] A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications](https://arxiv.org/abs/2001.06937), especially the "Applications" section, 5.  
  
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  ## 0 answers
  
  