Disentangling factors of variation in deep representations using adversarial training

10 November 2016

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

8 / 58 papers shown

Title
Unsupervised Discovery of Object Landmarks as Structural Representations Y. Zhang Yijie Guo Yixin Jin Yijun Luo Zhiyuan He Honglak Lee OCL 26 194 0 12 Apr 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 20 77 0 21 Mar 2018
Factorised spatial representation learning: application in semi-supervised myocardial segmentation A. Chartsias T. Joyce G. Papanastasiou S. Semple M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 48 69 0 19 Mar 2018
Music Style Transfer: A Position Paper Shuqi Dai Zheng-Wei Zhang Gus G. Xia 17 49 0 19 Mar 2018
Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks Taeksoo Kim Byoungjip Kim Moonsu Cha Jiwon Kim GAN 24 41 0 31 Jul 2017
Guiding InfoGAN with Semi-Supervision Adrian Spurr Emre Aksan Otmar Hilliges GAN 34 46 0 14 Jul 2017
Fader Networks: Manipulating Images by Sliding Attributes Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer MarcÁurelio Ranzato DRL GAN 26 543 0 01 Jun 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