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
StyleGenes: Discrete and Efficient Latent Distributions for GANs Evangelos Ntavelis Mohamad Shahbazi I. Kastanis Radu Timofte Martin Danelljan Luc Van Gool 43 1 0 30 Apr 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 27 22 0 30 Mar 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 55 226 0 28 Mar 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 12 26 0 25 Mar 2023
TriPlaneNet: An Encoder for EG3D Inversion A. Bhattarai Matthias Nießner Artem Sevastopolsky 43 34 0 23 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 29 508 0 07 Mar 2023
Testing the Channels of Convolutional Neural Networks Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 28 1 0 06 Mar 2023
Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation Hanzhen Zhang Liguo Zhou Ruining Wang Alois Knoll 18 0 0 23 Feb 2023
Gradient Adjusting Networks for Domain Inversion Erez Sheffi Michael Rotman Lior Wolf 29 0 0 22 Feb 2023
Model Doctor for Diagnosing and Treating Segmentation Error Zhijie Jia Lin Chen Kaiwen Hu Lechao Cheng Zunlei Feng Min-Gyoo Song 26 0 0 17 Feb 2023
Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving K. Mullick Harshil Jain Sanchit Gupta A. Kale OOD 23 4 0 08 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 24 28 0 06 Feb 2023
Density peak clustering using tensor network Xiaoxi Shi Y. Shang 18 1 0 01 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving Mariah L. Schrum Emily S. Sumner Matthew C. Gombolay A. Best 8 18 0 20 Jan 2023
Audio2Gestures: Generating Diverse Gestures from Audio Jing Li Di Kang Wenjie Pei Xuefei Zhe Ying Zhang Linchao Bao Zhenyu He DiffM SLR 32 8 0 17 Jan 2023
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis Julian Schon Raghavendra Selvan Lotte Nygaard I. Vogelius Jens Petersen MedIm 16 4 0 13 Jan 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 56 22 0 12 Jan 2023
Class-Continuous Conditional Generative Neural Radiance Field Jiwook Kim Minhyeok Lee 30 4 0 03 Jan 2023
SIRL: Similarity-based Implicit Representation Learning Andreea Bobu Yi Liu Rohin Shah Daniel S. Brown Anca Dragan SSL DRL 35 17 0 02 Jan 2023
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading Hasan Md Tusfiqur D. M. Nguyen M. T. N. Truong T. A. Nguyen Binh Duc Nguyen ... H. Profitlich Ngoc T. T. Than Ngan Le P. Xie Daniel Sonntag MedIm 27 8 0 30 Dec 2022
Reversible Column Networks Yuxuan Cai Yi Zhou Qi Han Jianjian Sun Xiangwen Kong Jun Yu Li Xiangyu Zhang VLM 31 53 0 22 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 29 7 0 22 Dec 2022
Human Image Generation: A Comprehensive Survey Zhen Jia Zhang Zhang Liangsheng Wang Tieniu Tan EGVM 3DH VGen 41 5 0 17 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe-nan Lin Yang Zhang Shiyu Chang DiffM CoGe 30 98 0 16 Dec 2022
LADIS: Language Disentanglement for 3D Shape Editing Ian Huang Panos Achlioptas Tianyi Zhang Sergey Tulyakov Minhyuk Sung Leonidas J. Guibas 31 10 0 09 Dec 2022
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information Xudong Kang H. Xie Man-Leung Wong J. Qin 36 0 0 05 Dec 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 35 6 0 27 Nov 2022
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model Takehiro Aoshima Takashi Matsubara 42 4 0 26 Nov 2022
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation Qiran Zou Yu Yang Wing Yin Cheung Chang-rui Liu Xiang Ji GAN 33 4 0 25 Nov 2022
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields Keqiang Sun Shangzhe Wu Ning Zhang Zhaoyang Huang Quan Wang Hongsheng Li CVBM 30 52 0 23 Nov 2022
Disentangled Representation Learning Xin Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 35 78 0 21 Nov 2022
2CET-GAN: Pixel-Level GAN Model for Human Facial Expression Transfer Xiao-Jun Hu Nuha Aldausari Gelareh Mohammadi GAN CVBM 16 1 0 18 Nov 2022
ParGAN: Learning Real Parametrizable Transformations Diego Martin Arroyo A. Tonioni F. Tombari GAN 27 1 0 09 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video Manipulation Levent Karacan Tolga Kerimouglu .Ismail .Inan Tolga Birdal Erkut Erdem Aykut Erdem 29 1 0 05 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 24 17 0 05 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 32 36 0 02 Nov 2022
Autoregressive GAN for Semantic Unconditional Head Motion Generation Louis Airale Xavier Alameda-Pineda Stéphane Lathuilière Dominique Vaufreydaz 25 3 0 02 Nov 2022
A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications Tristan Milne Étienne Bilocq A. Nachman OT 27 3 0 02 Nov 2022
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 29 15 0 31 Oct 2022
Unsupervised Learning of Structured Representations via Closed-Loop Transcription Shengbang Tong Xili Dai Yubei Chen Mingyang Li Zengyi Li Brent Yi Yann LeCun Y. Ma SSL DRL 29 7 0 30 Oct 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 35 12 0 28 Oct 2022
GAN-based Facial Attribute Manipulation Yunfan Liu Qi Li Qiyao Deng Zhen Sun Mingcong Yang CVBM 54 29 0 23 Oct 2022
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable? Kevin Zhang Zhiqiang Shen 20 8 0 20 Oct 2022
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion Chihiro Watanabe Hirokazu Kameoka DRL 35 0 0 20 Oct 2022
DOT-VAE: Disentangling One Factor at a Time Vaishnavi Patil Matthew Evanusa J. JáJá CoGe DRL CML 23 1 0 19 Oct 2022
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features Changde Du Kaicheng Fu Jinpeng Li Huiguang He VLM 45 68 0 13 Oct 2022
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing Khoa D. Doan Jianwen Xie Y. Zhu Yang Zhao Ping Li GAN 18 2 0 09 Oct 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 43 100 0 09 Oct 2022
See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction Maria Attarian Advaya Gupta Ziyi Zhou Wei Yu Igor Gilitschenski Animesh Garg LM&Ro 29 7 0 07 Oct 2022