How would you apply unsupervised learning to image denoising using a generative model

Question

Can you tell me How would you apply unsupervised learning to image denoising using a generative model?

Answer 1

 Use a Denoising Autoencoder (DAE) to learn clean image representations from noisy inputs in an unsupervised manner. Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Learns to reconstruct clean images without labeled pairs.

• Trains using only noisy input as supervision.

• Robust to different noise levels.

• Lightweight and effective for pre-processing tasks

Denoising autoencoders learn latent representations that filter noise from input data, hence enabling effective unsupervised image denoising using generative modeling techniques.