What is the code to implement style embeddings in a Generative model to transfer artistic styles to new images

Question

Can you tell me what the code is for implementing style embeddings in a Generative model to transfer artistic styles to new images?

Answer 1

To implement style embeddings in a generative model for transferring artistic styles, you can encode the style image into a latent embedding and condition the generator on it. This approach is common in models like StyleGAN or Neural Style Transfer variants.

Here are the steps you can follow:

• Define the Style Encoder: Use a CNN to extract style embeddings from style images.
• Condition the Generator on Style Embeddings: Modify the generator to accept style embeddings.
• Training Loop: Train the style encoder and generator together.

Here is the code snippet you can refer to:

In the above code, we are using:

• The StyleEncoder extracts style-specific features from a style image.
• The Generator uses both latent noise and style embedding to synthesize styled images.
• Loss functions like perceptual loss or Gram matrix loss can ensure style and content consistency.

Hence, by referring to the above, you can implement style embeddings in a Generative model to transfer artistic styles to new images