Quiz – Image Generation AI

Question 1 of 5

1. Question

How do diffusion models, popularized by Stable Diffusion and DALL-E, create images?

They start with random noise and progressively refine it into coherent images

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They copy an existing photo and change its file format

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They assemble images from a fixed library of clip art

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They draw images pixel by pixel using hand-coded rules

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Question 2 of 5

2. Question

Who developed Variational Autoencoders (VAEs)?

Kingma and Welling

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Mikolov and colleagues

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Brown and colleagues

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LeCun and Bengio

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Question 3 of 5

3. Question

How do GANs work?

Two networks compete in adversarial training, one generating and one critiquing images

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A single network memorizes and replays the training images

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They compress text into vectors and reconstruct it

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They remove noise from photos without any generation

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Question 4 of 5

4. Question

Who introduced GANs, according to the capsule?

Goodfellow and colleagues

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Kingma and Welling

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Devlin and colleagues

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Bolukbasi and colleagues

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Question 5 of 5

5. Question

Which ethical considerations does the capsule say matter for image generation?

Bias mitigation, copyright compliance, and deepfake prevention

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Choosing the fastest possible rendering hardware

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Maximizing the number of parameters in every model

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Storing all generated images in a single folder

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