Behind the Scenes of GANs, VAEs and Flow-based Generative Models

Chapters:
00:00 Introduction & Deep image generators
03:14 Generative Adversarial Networks
06:00 Variational Auto Encoders
16:20 Flow-based Generative Models
20:52 Strengths & Challenges
Presented at the Computer Vision Festival:
vision.aiaccel...
Abstract:
You probably heard about the cool things you can do with GANs and VAEs and some of you may even heard about flow-based generative models - but how well do you really understand how they work behind the scenes? What are their inherent strengths and weaknesses?
In this talk we will start with the basics - what are generative models and how each type of them works. Then we will dive into each one of them: the math and probabilistic interpretation, pros and cons compared to others, and see how SotA papers are handling the limitations of the vanilla method they are based on.
References + further reading: drive.google.c...

[@sandahk7173]

It was very informative., Thanks alot.. I wish you had some videos for Diffusion models as well in your channel..

[@MehrnooshAfshar-o5c]

awsome

[@AminUllah-jz9uu]

The presenter does an excellent job of explaining the concept in an easy-to-understand manner, making it accessible to viewers of all levels.

[@yunchaolanceliu]

Thanks for the great tutorial! If only the background is of a light color, that'd make contents, e.g., 5:48, much easier to see :)

[@engineren5451]

Thanks for the nice summary.

[@omridrori3286]

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