1 code implementation • 8 Jul 2021 • Nikolay Jetchev, Gökhan Yildirim, Christian Bracher, Roland Vollgraf
Attention is a general reasoning mechanism than can flexibly deal with image information, but its memory requirements had made it so far impractical for high resolution image generation.
1 code implementation • 19 Mar 2020 • Gökhan Yildirim, Debashis Sen, Mohan Kankanhalli, Sabine Süsstrunk
In this paper, we corroborate based on three subjective experiments on a novel image dataset that objects in natural images are inherently perceived to have varying levels of importance.
no code implementations • 16 Oct 2019 • Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim
Cutting and pasting image segments feels intuitive: the choice of source templates gives artists flexibility in recombining existing source material.
no code implementations • 23 Aug 2019 • Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann
Visualizing an outfit is an essential part of shopping for clothes.
Conditional Image Generation Vocal Bursts Intensity Prediction
no code implementations • ICLR 2019 • Gökhan Yildirim, Nikolay Jetchev, Urs Bergmann
In addition, we illustrate that simple guidance functions we use in UD-GAN-G allow us to directly capture the desired variations in the data.
2 code implementations • 20 Jun 2018 • Gökhan Yildirim, Calvin Seward, Urs Bergmann
In this paper, we propose a method that disentangles the effects of multiple input conditions in Generative Adversarial Networks (GANs).