Diffusion Models Beat GANs on Image Synthesis

What you'll get

• Outline: a plain-English breakdown of the paper's core idea, prerequisites, and the concepts you'll need to implement it.
• Exercises: five to ten hands-on tasks, each with a concept card, a prompt, a starter code stub, and a collapsible reference solution.
• Runnable notebook: a single .ipynb you can download and open in Jupyter or VS Code to work through every exercise.
• Extensions: suggested follow-up experiments so you don't stop at a faithful reimplementation.