AI Image Generation: Diving into Diffusion Models
Understand diffusion models, how they work, why they’re so special, and how they’re changing the world of image and video creation.
We'll cover the following...
- What are diffusion models?
- Diffusion models vs. VAEs and GANs
- How do diffusion models work?
- Vision transformers (ViTs) and diffusion transformers (DiTs)
- Latent diffusion models (LDMs) and Stable Diffusion
- Text-to-image with diffusion models
- Temporal aspects for video and beyond
- Strengths and limitations of diffusion models
Previously, we explored how AI is learning to understand images and videos. We discussed vision transformers (ViTs) and pretraining methods like CLIP and MAE that help AI see the visual world. We saw how Vision Foundation Models can recognize objects, understand scenes, and even analyze videos. That’s already super impressive!
Vision AI isn’t just about understanding existing images – it’s also about learning to create brand-new images from scratch! This is called image generation, where AI starts to become truly creative.
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