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"

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Title
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty Wei-Neng Chen Doksoo Lee O. Balogun Wei Chen AI4CE 18 11 0 21 Feb 2022
Discriminability-enforcing loss to improve representation learning Florinel-Alin Croitoru Diana-Nicoleta Grigore Radu Tudor Ionescu FaML 21 1 0 14 Feb 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 20 21 0 14 Feb 2022
Multi-level Latent Space Structuring for Generative Control Oren Katzir Vicky Perepelook Dani Lischinski Daniel Cohen-Or 22 4 0 11 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 17 1 0 10 Feb 2022
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning Naman Shah Siddharth Srivastava 14 18 0 02 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 61 19 0 27 Jan 2022
DOM-LM: Learning Generalizable Representations for HTML Documents Xiang Deng Prashant Shiralkar Colin Lockard Binxuan Huang Huan Sun AI4TS AI4CE 42 37 0 25 Jan 2022
3D-aware Image Synthesis via Learning Structural and Textural Representations Yinghao Xu Sida Peng Ceyuan Yang Yujun Shen Bolei Zhou 3DV 16 130 0 20 Dec 2021
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models Alon Jacovi Junyoung Lee Alexander Lerch DRL 18 1 0 20 Dec 2021
Self-supervised Enhancement of Latent Discovery in GANs Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath S. Sumitra 39 3 0 16 Dec 2021
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation Umut Kocasari Alara Dirik Mert Tiftikci Pinar Yanardag CLIP 15 60 0 15 Dec 2021
Top-Down Deep Clustering with Multi-generator GANs Daniel de Mello Renato M. Assunção Fabricio Murai 13 17 0 06 Dec 2021
CoNeRF: Controllable Neural Radiance Fields Kacper Kania K. M. Yi Marek Kowalski Tomasz Trzciñski Andrea Tagliasacchi AI4CE 24 77 0 03 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 35 51 0 29 Nov 2021
Gated SwitchGAN for multi-domain facial image translation Xiaokang Zhang Yuanlue Zhu Wenting Chen Wenshuang Liu Linlin Shen CVBM 25 7 0 28 Nov 2021
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model Zipeng Xu Tianwei Lin Hao Tang Fu Li Dongliang He N. Sebe Radu Timofte Luc Van Gool Errui Ding EGVM 38 41 0 26 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 31 12 0 26 Nov 2021
Learning Conditional Invariance through Cycle Consistency M. Samarin V. Nesterov Mario Wieser Aleksander Wieczorek S. Parbhoo Volker Roth 39 3 0 25 Nov 2021
Intuitive Shape Editing in Latent Space Tim Elsner Moritz Ibing Victor Czech Julius Nehring-Wirxel Leif Kobbelt 13 7 0 24 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi-An Ma 25 30 0 12 Nov 2021
Learning Perceptual Concepts by Bootstrapping from Human Queries Andreea Bobu Chris Paxton Wei Yang Balakumar Sundaralingam Yu-Wei Chao Maya Cakmak D. Fox SSL 25 17 0 09 Nov 2021
Unsupervised Foreground Extraction via Deep Region Competition Peiyu Yu Sirui Xie Xiaojian Ma Yixin Zhu Ying Nian Wu Song-Chun Zhu OCL 29 42 0 29 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 31 67 0 28 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 24 40 0 22 Oct 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie Arash Vahdat Anima Anandkumar 22 78 0 21 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 34 175 0 21 Oct 2021
Trajectory Prediction with Linguistic Representations Yen-Ling Kuo Xin Huang Andrei Barbu Stephen G. McGill Boris Katz J. Leonard Guy Rosman 31 17 0 19 Oct 2021
Cognitive Coding of Speech Reza Lotfidereshgi P. Gournay 30 5 0 08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 120 302 0 07 Oct 2021
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings Mariah L. Schrum Erin K. Hedlund Matthew C. Gombolay 13 5 0 07 Oct 2021
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion Zihang Lai Sifei Liu Alexei A. Efros Xiaolong Wang VGen 36 31 0 06 Oct 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 42 2 0 06 Oct 2021
Interpreting intermediate convolutional layers in unsupervised acoustic word classification G. Beguš Alan Zhou FAtt SSL 14 5 0 05 Oct 2021
Designing Complex Experiments by Applying Unsupervised Machine Learning A. Glushkovsky 19 0 0 29 Sep 2021
Quantifying point cloud realism through adversarially learned latent representations Larissa T. Triess David Peter Stefan A. Baur J. Marius Zöllner 3DPC 24 2 0 24 Sep 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models Maciej Wołczyk Magdalena Proszewska Lukasz Maziarka Maciej Ziȩba Patryk Wielopolski Rafał Kurczab Marek Śmieja DRL 27 5 0 18 Sep 2021
From Heatmaps to Structural Explanations of Image Classifiers Li Fuxin Zhongang Qi Saeed Khorram Vivswan Shitole Prasad Tadepalli Minsuk Kahng Alan Fern XAI FAtt 23 4 0 13 Sep 2021
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs Xuerong Xiao Swetava Ganguli Vipul Pandey GAN 16 1 0 11 Sep 2021
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network Junkang Wu Wentao Shi Xuezhi Cao Jiawei Chen Wenqiang Lei Fuzheng Zhang Wei Yu Wu Xiangnan He 16 66 0 22 Aug 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction Patrick Dendorfer Sven Elflein Laura Leal-Taixé 24 91 0 20 Aug 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 21 55 0 17 Aug 2021
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions Andrea Burns Aaron Sarna Dilip Krishnan Aaron Maschinot CoGe DRL SSL 35 4 0 14 Aug 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang Claudia Pérez-DÁrpino Danfei Xu Li Fei-Fei C. Karen Liu Silvio Savarese 42 33 0 13 Aug 2021
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network Sakib Shahriar GAN 42 101 0 09 Aug 2021
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning Jinghuan Shang Michael S. Ryoo SSL 24 24 0 02 Aug 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Chandrajit L. Bajaj A. Roy Haoran Zhang BDL DRL 21 1 0 25 Jul 2021
Stock price prediction using BERT and GAN Priyank Sonkiya Vikas Bajpai Anukriti Bansal AIFin 13 37 0 18 Jul 2021
StyleFusion: A Generative Model for Disentangling Spatial Segments Omer Kafri Or Patashnik Yuval Alaluf Daniel Cohen-Or 26 37 0 15 Jul 2021