Taking this one step further, I also looked at #ConditionalGANs: Extending #GANs by conditioning both generator and discriminator on labels, so you can explicitly control what is generated. In the #MNIST case, this means generating specific digits and even smoothly interpolating between them:

🌍 https://www.fabriziomusacchio.com/blog/2023-07-30-cgan/

#MachineLearning #GenerativeAI #CGAN #GAN

(The attached GIF shows the interpolation between the digits 6 and 1)

I was curious whether it would be possible to let #GANs generate samples conditioned on a specific input type. I wanted the GAN to generate samples of a specific digit, resembling a personal poor man’s mini #DALLE 😅. And indeed, I found a GAN architecture, that allows so-called #ConditionalGANs 💫

🌎 https://www.fabriziomusacchio.com/blog/2023-07-30-cgan/

#MachineLearning #GenerativeAdversarialNetworks

Conditional GANs

I was wondering whether it would be possible to let GANs generate samples conditioned on a specific input type. I wanted the GAN to generate samples of a specific digit, resembling a personal poor man’s mini DALL•E. And indeed, I found a GAN architecture, that allows what I was looking for: Conditional GANs.

Fabrizio Musacchio