Ongoing projects
![](https://www.epfl.ch/labs/vita/wp-content/uploads/2021/12/ITS_pullFigure-384x216.jpg)
Semantically-aware Discriminators
We build on successful cGAN models to propose a new semantically-aware discriminator that better guides the generator. We aim to learn a shared latent representation that encodes enough information to jointly do semantic segmentation, content reconstruction, along with a coarse-to-fine grained adversarial reasoning.
![](https://www.epfl.ch/labs/vita/wp-content/uploads/2024/04/coGAN-1-384x216.png)
Collaborative Sampling in GANs
We propose a collaborative sampling scheme between the generator and discriminator for improved data generation. Guided by the discriminator, our approach refines generated samples through gradient-based optimization in the data (or feature / latent) space, shifting the generator distribution closer to the real data distribution.