Can I read Kaist Diffusion Fall 2025 Lecture 2 on EtoBox?

Kaist Diffusion Fall 2025 Lecture 2 by hjlee0997 is a document available to read on EtoBox.

What is Kaist Diffusion Fall 2025 Lecture 2 about?

The lecture discusses generative models, specifically focusing on Diffusion and Flow Models, GANs, and VAEs. It covers the statistical perspective of generating realistic images from probability distributions and introduces concepts like inverse transform sampling and the Box-Muller Transform. The challenges of training GANs, such as non-convergence and mode collapse, are also highlighted.

Author

hjlee0997

Language

EN