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Question 39 - H13-311_V3.5 discussion

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Which of the following are use cases of generative adversarial networks?

A.
Photo repair
Answers
A.
Photo repair
B.
Generating face images
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B.
Generating face images
C.
Generating a 3D model from a 2D image
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C.
Generating a 3D model from a 2D image
D.
Generating images from text
Answers
D.
Generating images from text
Suggested answer: A, B, C, D

Explanation:

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

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.

asked 26/09/2024
Renier Janse van Rensburg
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