Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation

10 November 2018

Papers citing "Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation"

10 / 10 papers shown

Title
An empirical study on evaluation metrics of generative adversarial networks Qiantong Xu Gao Huang Yang Yuan Chuan Guo Yu Sun Felix Wu Kilian Q. Weinberger EGVM 61 271 0 19 Jun 2018
BEGAN: Boundary Equilibrium Generative Adversarial Networks David Berthelot Tom Schumm Luke Metz GAN 100 1,154 0 31 Mar 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 101 1,801 0 22 Dec 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 329 4,572 0 13 Nov 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 93 1,003 0 07 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 526 5,897 0 08 Jul 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 478 9,044 0 10 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 248 14,005 0 19 Nov 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 98 847 0 10 Feb 2015
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 231 2,357 0 15 May 2008