Generative Motion Synthesis Lecture

Last spring, I was a teaching assistant for the course Computational Models of Motion, which is a MSc. level course offered at ETH. In this course covers a wide range of topics from base knowledge such as inverse kinematics (IK), trajectory optimization, RL, as well as up-to-date research topics.

I gave a lecture on Generative Motion Synthesis, where I covered topics of adversarial and diffusion based methods for motion synthesis, both from kinematic and physics-based perspectives. In this lecture, I discussed both the concepts and some of the very recent SOTA papers on these topics. You can find the slides of my lecture here: Download PDF

I wish someone gave me such an introduction to the field when I started my PhD! 🥲

Hope it’s useful for you! Feedback is very welcome!