Teaching
Diffusion Models
Course topics
- Implementation Details: DDIM, noise schedulers, guidance overexposure, noise offset, multiple text encoders, transformer-based diffusion models, MM-DiT
- Video Diffusion Models: Deforum, AnimateDiff, Wan
Deep Learning
Course topics
- Optimization, Regularization
- Initialization, Normalization, CNN
- Generative Models: Autoregression, VAE, GAN, Diffusion, Flow Matching
- Acceleration: Quantization, Pruning, Distillation, KV-Cache, Flash Attention