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Which of the following are use cases of generative adversarial networks?
Correct Answer: A,B,C,D
Generative Adversarial Networks (GANs) are widely used in several creative and image generation tasks, including: A . Photo repair: GANs can be used to restore missing or damaged parts of images. B . Generating face images: GANs are known for their ability to generate realistic face images. C . Generating a 3D model from a 2D image: GANs can be used in applications where 2D images are converted into 3D models. D . Generating images from text: GANs can also generate images based on text descriptions, as seen in tasks like text-to-image synthesis. All of the provided options are valid use cases of GANs. HCIA AI Reference: Deep Learning Overview: Discusses the architecture and use cases of GANs, including applications in image generation and creative content. AI Development Framework: Covers the role of GANs in various generative tasks across industries.