Nikolay Jetchev

2 accepted papers

2018

First Order Generative Adversarial Networks

Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter

ICML 2018oral

GANs excel at learning high dimensional distributions, but they can update generator parameters in directions that do not correspond to the steepest descent direction of the objective. Prominent examples of problematic update directions include those used in both Goodfellow’s original GAN and the WG…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗

2017

Learning Texture Manifolds with the Periodic Spatial GAN

Urs Bergmann, Nikolay Jetchev, Roland Vollgraf

ICML 2017poster

This paper introduces a novel approach to texture synthesis based on generative adversarial networks (GAN) (Goodfellow et al., 2014), and call this technique Periodic Spatial GAN (PSGAN). The PSGAN has several novel abilities which surpass the current state of the art in texture synthesis. First, we…

Cited by 190 Source ↗PDF ↗code ↗Scholar ↗