Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples

14 February 2020

Papers citing "Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples"

8 / 8 papers shown

Title
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 54 284 0 26 Oct 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 494 10,466 0 12 Dec 2018
Feature Generating Networks for Zero-Shot Learning Yongqin Xian Tobias Lorenz Bernt Schiele Zeynep Akata GAN VLM 48 927 0 04 Dec 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 122 9,509 0 31 Mar 2017
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 239 4,554 0 13 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 367 3,201 0 30 Oct 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 229 10,646 0 15 Sep 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 84 1,648 0 02 Jun 2016