Publications (18)
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster +2
Generating High-Resolution Fashion Model Images Wearing Custom Outfits
Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf +1
Synthesizing 3D Abstractions by Inverting Procedural Buildings with Transformers
Maximilian Dax, Jordi Berbel, Jan Stria +2
The Conditional Analogy GAN: Swapping Fashion Articles on People Images
Nikolay Jetchev, Urs Bergmann
Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages
Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim
Disentangling Multiple Conditional Inputs in GANs
Gökhan Yildirim, Calvin Seward, Urs Bergmann
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization
Nikolay Jetchev, Urs Bergmann, Gokhan Yildirim
Texture Synthesis with Spatial Generative Adversarial Networks
Nikolay Jetchev, Urs Bergmann, Roland Vollgraf
Gemma 4 Technical Report
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320
Set Flow: A Permutation Invariant Normalizing Flow
Kashif Rasul, Ingmar Schuster, Roland Vollgraf +1
A Hierarchical Bayesian Model for Size Recommendation in Fashion
Romain Guigourès, Yuen King Ho, Evgenii Koriagin +3
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot +10
A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce
Abdul-Saboor Sheikh, Romain Guigoures, Evgenii Koriagin +4
First Order Generative Adversarial Networks
Calvin Seward, Thomas Unterthiner, Urs Bergmann +2
Stochastic Maximum Likelihood Optimization via Hypernetworks
Abdul-Saboor Sheikh, Kashif Rasul, Andreas Merentitis +1
GANosaic: Mosaic Creation with Generative Texture Manifolds
Nikolay Jetchev, Urs Bergmann, Calvin Seward
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents
Andreas Merentitis, Kashif Rasul, Roland Vollgraf +2
Learning Texture Manifolds with the Periodic Spatial GAN
Urs Bergmann, Nikolay Jetchev, Roland Vollgraf