How can you build a generative adversarial network with shared layers for generating data across multiple domains

Question

Can you tell me how you can build a generative adversarial network with shared layers to generate data across multiple domains?

Answer 1

To build a generative adversarial network (GAN) with shared layers for multiple domains, you can use a single generator and discriminator with domain-specific heads.

Here is the code snippet you can refer to, which uses Pytorch: 

In the above code, we are using the following approaches:

• Shared Layers: Common processing layers for multiple domains.
• Domain-Specific Heads: Separate heads for each domain are used in both the generator and discriminator.
• Flexible Inputs: Domain selection enables multi-domain data generation.

Hence, by referring to the above, you can build a generative adversarial network with shared layers for generating data across multiple domains.