Here are some ideas of paper topics you could present, but the best would be of course to choose your own.

Advanced autoregressive models: modern architectures and applications

Advanced flow-based models: modern architectures and applications

Advanced flow-based models: discrete data

Advanced variational auto-encoders: improved encoders/decoders

Advanced GAN models: latent variable inference in GANs

Evaluating generative models

Learning interpretable representations

Generative models in RL

Transformer-based models for generating language

Noise contrastive estimation

Neural ODEs

Learning generative models via score matching

Uncertainty estimation in generative models: ideas and applications

Combining generative models

More Advanced GANs