To manipulate latent space vectors for conditional generation in Julia, you can modify latent vectors before passing them to the generator. Here is the code snippet, using the Flux library for implementation:
In the above code, we are using the following:
- Latent Vector: A random vector sampled from a normal distribution.
- Condition Vector: Encodes conditional information (e.g., class labels or other features).
- Concatenation: Combines the latent vector and condition vector.
- Generator: Produces data conditioned on the modified latent vector.
Hence, this technique allows control over the characteristics of the generated outputs by embedding specific conditions into the latent space.