Introduction to Image Generation Certificate

We dived into various image generation models like VAEs, GANs, autoregressive models, and diffusion models. The course covered topics like unconditioned and conditioned generation, the ins and outs of iterative diffusion processes, and the intriguing DDPM (Denoising Diffusion Probabilistic Model). One exciting aspect we explored was the addition of Gaussian noise at each step of the process, and trust me, it's more impactful than you might think.

I'm excited to apply this knowledge to create stunning images in future projects.