Autoencoding beyond pixels using a learned similarity metric

31 December 2015

Anders Boesen Lindbo Larsen

Papers citing "Autoencoding beyond pixels using a learned similarity metric"

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Title
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning Berrak Sisman Junichi Yamagishi Simon King Haizhou Li BDL 41 318 0 09 Aug 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization Zhiwen Zuo Lei Zhao Zhizhong Wang Haibo Chen Ailin Li Qijiang Xu Wei Xing Dongming Lu GAN 45 0 0 08 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 30 153 0 06 Aug 2020
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation Y. Liu Wenhong Cai Xiaohui Yuan Jinhai Xiang 21 3 0 06 Aug 2020
Autoencoder Image Interpolation by Shaping the Latent Space Alon Oring Z. Yakhini Y. Hel-Or 9 2 0 04 Aug 2020
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces Marco Maggipinto M. Terzi Gian Antonio Susto 15 1 0 03 Aug 2020
Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks Dylan Randle P. Protopapas David Sondak GAN 13 5 0 21 Jul 2020
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder M. Yin Li Sun Qingli Li 22 15 0 21 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding Nupur Thakur Baoxin Li AAML 24 3 0 20 Jul 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 12 65 0 20 Jul 2020
Modeling Artistic Workflows for Image Generation and Editing Hung-Yu Tseng Matthew Fisher Jingwan Lu Yijun Li Vladimir G. Kim Ming-Hsuan Yang DiffM 27 20 0 14 Jul 2020
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 48 21 0 13 Jul 2020
Bridging Maximum Likelihood and Adversarial Learning via $α$ -Divergence Miaoyun Zhao Yulai Cong Shuyang Dai Lawrence Carin GAN 30 10 0 13 Jul 2020
PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing Zhenliang He Meina Kan Jichao Zhang Shiguang Shan CVBM GAN 21 27 0 12 Jul 2020
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE Anna Volokitin Ertunc Erdil Neerav Karani K. Tezcan Xiaoran Chen Luc Van Gool E. Konukoglu 14 34 0 09 Jul 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian Bruno Korbar Matthijs Douze Lorenzo Torresani Bernt Schiele Zeynep Akata VGen 18 18 0 09 Jul 2020
Cultural Cartography with Word Embeddings Dustin S. Stoltz Marshall A. Taylor 23 38 0 09 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 20 895 0 08 Jul 2020
Robust Learning with Frequency Domain Regularization Weiyu Guo Yidong Ouyang AAML 16 2 0 07 Jul 2020
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding Ammar Mansoor Kamoona A. Gostar A. Bab-Hadiashar R. Hoseinnezhad 27 51 0 03 Jul 2020
Compositional Video Synthesis with Action Graphs Amir Bar Roei Herzig Xiaolong Wang Anna Rohrbach Gal Chechik Trevor Darrell Amir Globerson 33 43 0 27 Jun 2020
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model Steffen Czolbe Oswin Krause Ingemar Cox Christian Igel GAN 6 45 0 26 Jun 2020
Extended Labeled Faces in-the-Wild (ELFW): Augmenting Classes for Face Segmentation R. Redondo J. Gibert CVBM 23 7 0 24 Jun 2020
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study Alejandro Ungría Hirte Moritz Platscher T. Joyce J. Heit E. Tranvinh C. Federau MedIm DiffM 19 6 0 24 Jun 2020
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders Nina Shvetsova Bart Bakker Irina Fedulova H. Schulz Dmitry V. Dylov 13 80 0 23 Jun 2020
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation Elias Kassapis G. Dikov D. K. Gupta C. Nugteren 38 17 0 23 Jun 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample Shir Gur Sagie Benaim Lior Wolf VGen GAN DRL 25 69 0 22 Jun 2020
Learning to infer in recurrent biological networks Ari S. Benjamin Konrad Paul Kording SSL DRL 32 1 0 18 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Carlos Guestrin J. Susskind GAN 32 2 0 18 Jun 2020
Learning High-Resolution Domain-Specific Representations with a GAN Generator Danil Galeev Konstantin Sofiiuk D. Rukhovich Mikhail Romanov O. Barinova Anton Konushin GAN 39 15 0 18 Jun 2020
Head2Head++: Deep Facial Attributes Re-Targeting M. Doukas Mohammad Rami Koujan V. Sharmanska A. Roussos CVBM 3DH 32 45 0 17 Jun 2020
Adversarial representation learning for private speech generation David Ericsson Adam Östberg Edvin Listo Zec John Martinsson Olof Mogren 27 16 0 16 Jun 2020
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 29 13 0 15 Jun 2020
Generalized Adversarially Learned Inference Yatin Dandi Homanga Bharadhwaj Abhishek Kumar Piyush Rai GAN 22 7 0 15 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 33 229 0 11 Jun 2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs A. Mondal Himanshu Asnani Parag Singla A. Prathosh DRL 13 1 0 10 Jun 2020
Deep Adversarial Koopman Model for Reaction-Diffusion systems K. Balakrishnan Devesh Upadhyay 23 5 0 09 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 24 32 0 09 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-man Cheung MedIm 18 36 0 09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments Pegah Salehi A. Chalechale M. Taghizadeh EGVM 18 39 0 27 May 2020
BHN: A Brain-like Heterogeneous Network Tao Liu DRL 6 1 0 26 May 2020
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection Kazuma Kobayashi Ryuichiro Hataya Y. Kurose Amina Bolatkan M. Miyake Hirokazu Watanabe Masamichi Takahashi J. Itami Tatsuya Harada Ryuji Hamamoto MedIm 6 1 0 26 May 2020
Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim Yuhao Zhou Jonah Philion Antonio Torralba Sanja Fidler GAN 25 102 0 25 May 2020
NAUTILUS: a Versatile Voice Cloning System Hieu-Thi Luong Junichi Yamagishi 28 51 0 22 May 2020
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions Tariq Daouda Reda Chhaibi Prudencio Tossou A. Villani 22 2 0 16 May 2020
Transforming and Projecting Images into Class-conditional Generative Networks Minyoung Huh Richard Y. Zhang Jun-Yan Zhu S. Paris Aaron Hertzmann 31 110 0 04 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 287 0 30 Apr 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 43 22 0 30 Apr 2020
Image Morphing with Perceptual Constraints and STN Alignment N. Fish Richard Y. Zhang Lilach Perry Daniel Cohen-Or Eli Shechtman Connelly Barnes 13 14 0 29 Apr 2020