This is a course that I am taking in Q2 during my Robotics Master’s at the University of Twente. So far it’s really interesting and the professors also know how to explain these challenging topics.
- Deepfakes,
- If a zebra and a horse had a child,
- Converting to blonde hair from brown hair.
These are applications of Generative AI.
Topics covered so far
- Autoencoders(AE) & Generative Adversarial Networks(GANs), Mode Collapse
- Transformers
- Vision Transformers (ViT), CLIP, VLM
- Normalizing Flows
- Flow Matching and Mean Flows
- Diffusion Models
- Audio-Visual Generative Models and Robotic Applications
- Frechet Inception Distance and Inception Score
- Motion Prediction
- DDPMS for Dynamical Systems (State Space Approach)
- NeRF - Neural Radiance Fiels
- Gaussian Splatting
This field is moving so fast that things you used 6 months ago are already out-dated.
Really thinking of going further with this. I like it. We’ll see.