InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

12 June 2016

Pieter Abbeel

Papers citing "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

50 / 654 papers shown

Title
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 29 9 0 14 May 2019
Flat Metric Minimization with Applications in Generative Modeling Thomas Möllenhoff Daniel Cremers 17 5 0 12 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning Xiang Zhang Lina Yao Feng Yuan DRL GAN 27 42 0 07 May 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 29 123 0 03 May 2019
Deep Spectral Clustering using Dual Autoencoder Network Xu Yang Cheng Deng Feng Zheng Junchi Yan Wei Liu 29 249 0 30 Apr 2019
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion M. Sahasrabudhe Zhixin Shu Edward Bartrum R. Güler Dimitris Samaras Iasonas Kokkinos 3DH DRL 3DV 30 40 0 26 Apr 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Kai Wang CVBM 15 130 0 26 Apr 2019
Neural Collaborative Subspace Clustering Tong Zhang Pan Ji Mehrtash Harandi Wen-bing Huang Hongdong Li 11 72 0 24 Apr 2019
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation Wayne Wu Kaidi Cao Cheng Li Chao Qian Chen Change Loy ViT DRL 21 110 0 21 Apr 2019
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs Javad Amirian J. Hayet J. Pettré GAN 25 269 0 20 Apr 2019
Learning Interpretable Disentangled Representations using Adversarial VAEs Mhd Hasan Sarhan Abouzar Eslami Nassir Navab Shadi Albarqouni DRL OOD 19 20 0 17 Apr 2019
Long-Term Human Video Generation of Multiple Futures Using Poses Naoya Fushishita Antonio Tejero-de-Pablos Yusuke Mukuta Tatsuya Harada 14 9 0 16 Apr 2019
Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning Mai Xu Li Yang Xiaoming Tao Yiping Duan Zulin Wang 25 29 0 15 Apr 2019
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer Xinyuan Chen Chang Xu Xiaokang Yang Li-Na Song Dacheng Tao GAN 24 111 0 04 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel DRL 23 76 0 02 Apr 2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN Alireza Koochali P. Schichtel Sheraz Ahmed Andreas Dengel AI4TS 22 72 0 29 Mar 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction Christoph Schöller Vincent Aravantinos F. Lay Alois C. Knoll 27 220 0 19 Mar 2019
Unsupervised Part-Based Disentangling of Object Shape and Appearance Dominik Lorenz Leonard Bereska Timo Milbich Bjorn Ommer OCL DRL 33 147 0 16 Mar 2019
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat Duo Wang M. Jamnik Pietro Lió BDL OCL 26 5 0 14 Mar 2019
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness Jiawang Bai Yiming Li Jiawei Li Yong Jiang Shutao Xia 29 14 0 14 Mar 2019
Neural Scene Decomposition for Multi-Person Motion Capture Helge Rhodin Victor Constantin Isinsu Katircioglu Mathieu Salzmann Pascal Fua 3DH SSL 33 47 0 13 Mar 2019
Unsupervised Discovery of Parts, Structure, and Dynamics Zhenjia Xu Zhijian Liu Chen Sun Kevin Patrick Murphy William T. Freeman J. Tenenbaum Jiajun Wu OCL 30 61 0 12 Mar 2019
Using Causal Analysis to Learn Specifications from Task Demonstrations Daniel Angelov Yordan V. Hristov S. Ramamoorthy CML 26 19 0 04 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 15 499 0 01 Mar 2019
Generative Models for Low-Rank Video Representation and Reconstruction Rakib Hyder M. Salman Asif GAN 27 11 0 25 Feb 2019
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 21 26 0 20 Feb 2019
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables Shaojie Xu Sihan Zeng Justin Romberg GAN DiffM 16 16 0 19 Feb 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 21 39 0 05 Feb 2019
Disentangling and Learning Robust Representations with Natural Clustering Javier Antorán A. Miguel CoGe OOD CML DRL 8 19 0 27 Jan 2019
Scene Text Synthesis for Efficient and Effective Deep Network Training Changgong Zhang Fangneng Zhan Erik Cambria Shijian Lu 18 27 0 26 Jan 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection S. Akçay Amir Atapour-Abarghouei T. Breckon UQCV 44 373 0 25 Jan 2019
RPC: A Large-Scale Retail Product Checkout Dataset Xiu-Shen Wei Quan Cui Lei Yang Peng Wang Lingqiao Liu 13 124 0 22 Jan 2019
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation Hugo Oliveira E. Ferreira J. A. dos Santos MedIm 19 14 0 16 Jan 2019
Domain Adaptation for Structured Output via Discriminative Patch Representations Yi-Hsuan Tsai Kihyuk Sohn S. Schulter Manmohan Chandraker OOD 38 319 0 16 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 35 3,616 0 16 Jan 2019
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation Adam W. Harley S. Wei Jason M. Saragih Katerina Fragkiadaki 22 5 0 11 Jan 2019
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data Lorenzo Frigerio Anderson Santana de Oliveira L. Gomez Patrick Duverger SyDa AI4TS 28 110 0 08 Jan 2019
Understanding the (un)interpretability of natural image distributions using generative models Ryen Krusinga Sohil Shah Matthias Zwicker Tom Goldstein David Jacobs DiffM FAtt GAN 28 11 0 06 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 15 39 0 06 Jan 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 18 46 0 22 Dec 2018
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang J. Ren Quanshi Zhang FAtt 23 54 0 18 Dec 2018
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization Zhiwei Wang Yi Lin K. Cheng Xin Yang MedIm 27 29 0 17 Dec 2018
Spatial Fusion GAN for Image Synthesis Fangneng Zhan Erik Cambria Shijian Lu 29 149 0 14 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 306 10,368 0 12 Dec 2018
SMIT: Stochastic Multi-Label Image-to-Image Translation Andrés Romero Pablo Arbelaez Luc Van Gool Radu Timofte 25 66 0 10 Dec 2018
Counterfactuals uncover the modular structure of deep generative models M. Besserve Arash Mehrjou Rémy Sun Bernhard Schölkopf DRL BDL DiffM 19 107 0 08 Dec 2018
Visual Object Networks: Image Generation with Disentangled 3D Representation Jun-Yan Zhu Zhoutong Zhang Chengkai Zhang Jiajun Wu Antonio Torralba J. Tenenbaum Bill Freeman DRL CoGe OCL 38 253 0 06 Dec 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition Siqi Liu Eli Gibson Sasa Grbic Zhoubing Xu A. Setio J. Yang Bogdan Georgescu Dorin Comaniciu DiffM MedIm 33 18 0 04 Dec 2018
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis Yujun Shen Bolei Zhou Ping Luo Xiaoou Tang CVBM 33 38 0 04 Dec 2018
Rare Event Detection using Disentangled Representation Learning Ryuhei Hamaguchi Ken Sakurada Ryosuke Nakamura DRL 20 35 0 04 Dec 2018