AI engineering glossary · Generative media multimodal
What is Conditional GAN?
Conditional GAN (also called cGAN): A GAN in which both generator and discriminator receive an extra input, such as a class label or another image, so the output can be controlled. It is the basis for many image-to-image and label-to-image systems.
Conditional GAN: an example
Feeding the label 'sari' to a conditional GAN produces a clothing image of a sari rather than a random garment.
Related terms
More Generative media multimodal terms
- Consistency model
- Content provenance
- ControlNet
- Cross-attention conditioning
- Cross-modal retrieval
- CycleGAN
- Deepfake
- Denoising diffusion implicit model
Where you learn it
Conditional GAN is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.