Disentangling factors of variation in deep representations using
adversarial training

Disentangling factors of variation in deep representations using adversarial training

10 November 2016

Michaël Mathieu

Pablo Sprechmann

Aditya A. Ramesh

Papers citing "Disentangling factors of variation in deep representations using adversarial training"

13 / 263 papers shown

Title
Guiding InfoGAN with Semi-Supervision Adrian Spurr Emre Aksan Otmar Hilliges GAN 34 46 0 14 Jul 2017
Stable Distribution Alignment Using the Dual of the Adversarial Distance Ben Usman Kate Saenko Brian Kulis 19 3 0 13 Jul 2017
Fader Networks: Manipulating Images by Sliding Attributes Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer MarcÁurelio Ranzato DRL GAN 40 543 0 01 Jun 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 22 550 0 31 May 2017
Generative Models of Visually Grounded Imagination Ramakrishna Vedantam Ian S. Fischer Jonathan Huang Kevin Patrick Murphy 17 138 0 30 May 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 16 309 0 24 May 2017
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks Chris Donahue Zachary Chase Lipton Akshay Balsubramani Julian McAuley GAN 33 120 0 22 May 2017
Stabilizing Adversarial Nets With Prediction Methods A. Yadav Sohil Shah Zheng Xu David Jacobs Tom Goldstein ODL 39 89 0 20 May 2017
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data Shuchang Zhou Taihong Xiao Yi Yang Dieqiao Feng Qinyao He Weiran He GAN 14 95 0 14 May 2017
Semi-Latent GAN: Learning to generate and modify facial images from attributes Weidong Yin Yanwei Fu Leonid Sigal Xiangyang Xue GAN CVBM 26 43 0 07 Apr 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 61 5,553 0 30 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 42 1,973 0 15 Mar 2017
Enlightening Deep Neural Networks with Knowledge of Confounding Factors Yu Zhong G. Ettinger 24 25 0 08 Jul 2016