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"

50 / 263 papers shown

Title
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation Xiaofeng Liu Tong Che Yiqun Lu Chao Yang Site Li J. You 3DV 46 21 0 13 Jul 2020
Bridging Maximum Likelihood and Adversarial Learning via $α$ -Divergence Miaoyun Zhao Yulai Cong Shuyang Dai Lawrence Carin GAN 27 10 0 13 Jul 2020
Improving Style-Content Disentanglement in Image-to-Image Translation Aviv Gabbay Yedid Hoshen 14 6 0 09 Jul 2020
Decoder-free Robustness Disentanglement without (Additional) Supervision Yifei Wang Dan Peng Furui Liu Zhenguo Li Zhitang Chen Jiansheng Yang AAML 6 1 0 02 Jul 2020
Swapping Autoencoder for Deep Image Manipulation Taesung Park Jun-Yan Zhu Oliver Wang Jingwan Lu Eli Shechtman Alexei A. Efros Richard Y. Zhang 25 332 0 01 Jul 2020
Future Urban Scenes Generation Through Vehicles Synthesis A. Simoni Luca Bergamini Andrea Palazzi Simone Calderara Rita Cucchiara 8 3 0 01 Jul 2020
Feature Alignment and Restoration for Domain Generalization and Adaptation Xin Jin Cuiling Lan Wenjun Zeng Zhibo Chen OOD 26 39 0 22 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 12 31 0 14 Jun 2020
Disentanglement for Discriminative Visual Recognition Xiaofeng Liu DRL 21 6 0 14 Jun 2020
An Improved Semi-Supervised VAE for Learning Disentangled Representations Weili Nie Zichao Wang Ankit B. Patel Richard G. Baraniuk CoGe DRL 19 4 0 12 Jun 2020
DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors Sarthak Bhagat Vishaal Udandarao Shagun Uppal CoGe SSL DRL 6 6 0 10 Jun 2020
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data H. Tang Hong Liu Wei Xiao N. Sebe 21 73 0 21 May 2020
CONFIG: Controllable Neural Face Image Generation Marek Kowalski Stephan J. Garbin V. Estellers T. Baltrušaitis Matthew W. Johnson Jamie Shotton DRL 3DH CVBM 31 89 0 06 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 286 0 30 Apr 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 43 22 0 30 Apr 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 8 368 0 16 Apr 2020
Disentangled Adversarial Transfer Learning for Physiological Biosignals Mo Han Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus OOD AAML 19 6 0 15 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 27 3 0 12 Apr 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Z. Tu DRL CoGe 34 106 0 02 Apr 2020
Learning Cross-domain Generalizable Features by Representation Disentanglement Qingjie Meng Daniel Rueckert Bernhard Kainz OOD DRL 17 12 0 29 Feb 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Conditional Adversarial Camera Model Anonymization Jerone T. A. Andrews Yidan Zhang Lewis D. Griffin PICV 14 0 0 18 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis Guangzhi Sun Yu Zhang Ron J. Weiss Yuanbin Cao Heiga Zen Yonghui Wu 9 130 0 06 Feb 2020
Adversarial Disentanglement with Grouped Observations J. Németh DRL 11 8 0 14 Jan 2020
Disentangled Representation Learning with Wasserstein Total Correlation Yijun Xiao William Yang Wang OOD DRL 21 12 0 30 Dec 2019
Face Beautification: Beyond Makeup Transfer Xudong Liu Ruizhe Wang Chih-Fan Chen Minglei Yin Hao Peng Shukhan Ng Xin Li CVBM 17 12 0 08 Dec 2019
Zero-Shot Sketch-Based Image Retrieval with Structure-aware Asymmetric Disentanglement Jiangtong Li Zhixin Ling Li Niu Liqing Zhang 13 6 0 29 Nov 2019
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns Jianwen Xie Ruiqi Gao Zilong Zheng Song-Chun Zhu Ying Nian Wu DiffM 30 21 0 26 Nov 2019
Towards Better Understanding of Disentangled Representations via Mutual Information Xiaojiang Yang Wendong Bi Yitong Sun Yu Cheng Junchi Yan CML CoGe DRL 11 1 0 25 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Y. Elhabian DRL 17 10 0 24 Nov 2019
DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation Guanqi Zhan Yihao Zhao Bingchan Zhao Haoqi Yuan Baoquan Chen Hao Dong DRL 10 1 0 22 Nov 2019
Human Annotations Improve GAN Performances Juanyong Duan S. Ong Qi Zhao 35 0 0 15 Nov 2019
Double cycle-consistent generative adversarial network for unsupervised conditional generation Fei Ding Feng Luo Yin Yang SyDa AI4CE 14 10 0 13 Nov 2019
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models Siddharth Dalmia Abdel-rahman Mohamed M. Lewis Florian Metze Luke Zettlemoyer 9 10 0 09 Nov 2019
Federated Adversarial Domain Adaptation Xingchao Peng Zijun Huang Yizhe Zhu Kate Saenko FedML 19 269 0 05 Nov 2019
Co-Generation with GANs using AIS based HMC Tiantian Fang A. Schwing 11 2 0 31 Oct 2019
Learning Disentangled Representation for Robust Person Re-identification Chanho Eom Bumsub Ham OOD DRL 19 91 0 26 Oct 2019
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis Patrick Esser Johannes Haux Bjorn Ommer OOD OCL DRL 19 40 0 22 Oct 2019
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector Jiaxing Huang Seungwon Lee Jingyi Zhang Taegyun Jeon 17 6 0 04 Oct 2019
Semi-Supervised Generative Modeling for Controllable Speech Synthesis Raza Habib Soroosh Mariooryad Matt Shannon Eric Battenberg RJ Skerry-Ryan Daisy Stanton David Kao Tom Bagby BDL 11 48 0 03 Oct 2019
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data Utkarsh Ojha Krishna Kumar Singh Cho-Jui Hsieh Yong Jae Lee DRL 26 3 0 01 Oct 2019
Unsupervised Generative 3D Shape Learning from Natural Images Attila Szabó Givi Meishvili Paolo Favaro GAN 3DH 3DV 17 69 0 01 Oct 2019
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe BDL CML DRL 19 26 0 06 Sep 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 13 93 0 26 Aug 2019
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Qingjie Meng Nick Pawlowski Daniel Rueckert Bernhard Kainz OOD DRL 9 14 0 21 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Yang Hu Giovanni Montana 9 5 0 14 Aug 2019
AdvFaces: Adversarial Face Synthesis Debayan Deb Jianbang Zhang Anil K. Jain GAN CVBM AAML PICV 22 126 0 14 Aug 2019
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation Junlin Yang Nicha Dvornek Fan Zhang Julius Chapiro Mingde Lin James S. Duncan DRL OOD 9 133 0 31 Jul 2019
Controlling biases and diversity in diverse image-to-image translation Yaxing Wang Abel Gonzalez-Garcia Joost van de Weijer Luis Herranz 11 6 0 23 Jul 2019