Machine Learning.
particularly useful for tasks where obtaining paired data is challenging or impractical, such as style transfer, domain adaptation, and artistic image synthesis. 6. StyleGANs StyleGANs empower you with fine-grained control over visual attributes, allowing you to generate high-resolution, realistic