Podcast
Questions and Answers
Which technologies have been discussed in previous classes?
Which technologies have been discussed in previous classes?
- Photorealistic representations
- Stable diffusion and mid-journey
- Generative adversarial networks and diffusion models (correct)
- Clip and lie on tools
What do diffusion models do to an image?
What do diffusion models do to an image?
- Denoise the image (correct)
- Generate photorealistic representations
- Compare images from training data to generated images
- Walk backward through an image's deterioration
What is the purpose of tools like Clip and Lie on?
What is the purpose of tools like Clip and Lie on?
- To denoise an image
- To generate photorealistic representations
- To compare images from training data to generated images
- To pair images and text together (correct)
Why do we need to look inside the datasets?
Why do we need to look inside the datasets?
What do we assume about the image-making process?
What do we assume about the image-making process?
Flashcards
Previously Discussed Technologies?
Previously Discussed Technologies?
Generative adversarial networks and diffusion models.
Diffusion Models Action?
Diffusion Models Action?
Diffusion models remove noise from an image, refining it to a clear state.
Purpose of Clip and Lie on?
Purpose of Clip and Lie on?
Clip and Lie on pair images with corresponding text descriptions.
Why Inspect Datasets?
Why Inspect Datasets?
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Image-Making Assumption?
Image-Making Assumption?
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