Selected projects

Functional space analysis of local GAN convergence
We investigate how fundamental properties of an underlying dataset impact convergence of a GAN. We show that the convergence can be described in terms of the connectivity properties of the dataset, and explain various practical heuristics given this insight.
July 15, 2021
GAN-based image manipulations
A series of works that investigate the potential of the state-of-the-art GANs to manipulate natural images. We have developed several unsupervised methods that exploit pretrained GANs for advanced semantic editing and object segmentation.
June 15, 2021
Benchmarks for billion-scale similarity search
To encourage future developments of scalable similarity search algorithms, we release two billion-scale datasets that can serve as representative benchmarks for researchers from the machine learning and algorithmic communities interested in efficient similarity search.
April 26, 2021
A library to train large neural networks across the internet. Imagine training one huge transformer on thousands of computers from universities, companies, and volunteers.
September 1, 2020
StyleGAN2 distillation for feed-forward image manipulation
Paired image-to-image translation trained on synthetic data generated by StyleGAN2 that outperforms existing approaches in image manipulation.
August 20, 2020