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"

50 / 902 papers shown

Title
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders Ari Heljakka Arno Solin Arno Solin DRL CVBM 32 15 0 12 Apr 2019
An Introduction to Person Re-identification with Generative Adversarial Networks Hamed Alqahtani Manolya Kavakli-Thorne Charles Z. Liu GAN 11 4 0 12 Apr 2019
Teaching GANs to Sketch in Vector Format Varshaneya V Balasubramanian S V. Balasubramanian DRL GAN 16 17 0 07 Apr 2019
Normalized Diversification Shaohui Liu Xiao Zhang Jianqiao Wangni Jianbo Shi GAN DiffM 25 20 0 07 Apr 2019
UU-Nets Connecting Discriminator and Generator for Image to Image Translation Jionghao Wu GAN 14 1 0 04 Apr 2019
Learning to Decipher Hate Symbols Jing Qian Mai Elsherief E. Belding-Royer William Yang Wang 22 17 0 04 Apr 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis R. Liu Yu Liu Xinyu Gong Xiaogang Wang Hongsheng Li 24 45 0 03 Apr 2019
Bridging Adversarial Robustness and Gradient Interpretability Beomsu Kim Junghoon Seo Taegyun Jeon AAML 16 39 0 27 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 14 238 0 27 Mar 2019
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis Yong Guo Qi Chen Jian Chen Qingyao Wu Javen Qinfeng Shi Mingkui Tan GAN 19 66 0 27 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 36 483 0 25 Mar 2019
Learning Disentangled Representations of Satellite Image Time Series E. Sanchez M. Serrurier M. Ortner DRL SSL 6 14 0 21 Mar 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 20 377 0 14 Mar 2019
Persona-Aware Tips Generation Piji Li Zihao Wang Lidong Bing Wai Lam 20 40 0 06 Mar 2019
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks Jianlin Su GAN 11 19 0 05 Mar 2019
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation Soochan Lee Junsoo Ha Gunhee Kim GAN 17 27 0 25 Feb 2019
Learning about an exponential amount of conditional distributions Mohamed Ishmael Belghazi Maxime Oquab Yann LeCun David Lopez-Paz BDL SSL 19 28 0 22 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 988 0 21 Feb 2019
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images Swetava Ganguli Pedro Garzon Noa Glaser GAN 14 54 0 14 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and Manipulation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 29 72 0 14 Feb 2019
Towards Self-Supervised High Level Sensor Fusion Qadeer Ahmad Khan Torsten Schön Patrick Wenzel SSL 31 3 0 12 Feb 2019
MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation Sanghyeon Na Seungjoo Yoo Jaegul Choo 14 16 0 11 Feb 2019
Latent Space Reinforcement Learning for Steering Angle Prediction Qadeer Ahmad Khan Torsten Schön Patrick Wenzel SSL LLMSV 20 8 0 11 Feb 2019
Generating the support with extreme value losses N. Guttenberg 13 0 0 08 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 21 213 0 06 Feb 2019
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping Punarjay Chakravarty P. Narayanan Tom Roussel 3DGS MDE 44 26 0 06 Feb 2019
Uncertainty Quantification in Deep MRI Reconstruction Vineet Edupuganti Morteza Mardani S. Vasanawala John M. Pauly UQCV 16 95 0 31 Jan 2019
Structural Material Property Tailoring Using Deep Neural Networks Oshin Olesegun R. Noraas M. Giering N. Somanath AI4CE 11 12 0 29 Jan 2019
Attribute-Guided Sketch Generation Hao Tang Xinya Chen Wei Wang Dan Xu Jason J. Corso N. Sebe Yan Yan CVBM GAN 20 23 0 28 Jan 2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 11 26 0 24 Jan 2019
Deep-Learning Inversion of Seismic Data Shucai Li Bin Liu Yuxiao Ren Yangkang Chen Senlin Yang Yunhai Wang Peng-Tao Jiang 16 279 0 23 Jan 2019
Learning a Generative Model of Cancer Metastasis Benjamin Kompa Beau Coker MedIm AI4CE 21 0 0 17 Jan 2019
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition Anna Guitart Pei Pei Chen África Periánez 14 10 0 16 Jan 2019
DeepFlash: Turning a Flash Selfie into a Studio Portrait N. Capece Francesco Banterle Paolo Cignoni F. Ganovelli Roberto Scopigno U. Erra 24 22 0 14 Jan 2019
RNN-based Generative Model for Fine-Grained Sketching A. Jenal Nikolay Savinov Torsten Sattler G. Chaurasia GAN 14 4 0 13 Jan 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 25 167 0 10 Jan 2019
Adaptive Density Estimation for Generative Models Thomas Lucas K. Shmelkov Alahari Karteek Cordelia Schmid Jakob Verbeek GAN DRL 32 32 0 04 Jan 2019
Latent Variable Modeling for Generative Concept Representations and Deep Generative Models Daniel T. Chang DRL BDL 12 4 0 26 Dec 2018
A Survey of Deep Facial Attribute Analysis Xin Zheng Yanqing Guo Huaibo Huang Yi Li Ran He CVBM 26 25 0 26 Dec 2018
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 18 46 0 22 Dec 2018
An Empirical Study of Generative Models with Encoders Paul Kishan Rubenstein Yunpeng Li Dominik Roblek GAN 17 1 0 19 Dec 2018
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks Stephen James Paul Wohlhart Mrinal Kalakrishnan Dmitry Kalashnikov A. Irpan Julian Ibarz Sergey Levine R. Hadsell Konstantinos Bousmalis 46 444 0 18 Dec 2018
Explanatory Graphs for CNNs Quanshi Zhang Xin Wang Ruiming Cao Ying Nian Wu Feng Shi Song-Chun Zhu FAtt GNN 16 3 0 18 Dec 2018
Learning Latent Subspaces in Variational Autoencoders Jack Klys Jake C. Snell R. Zemel SSL DRL 19 139 0 14 Dec 2018
A Probe Towards Understanding GAN and VAE Models Lu Mi Macheng Shen J.N. Zhang DRL 17 19 0 13 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 12 440 0 12 Dec 2018
Coconditional Autoencoding Adversarial Networks for Chinese Font Feature Learning Zhizhan Zheng Feiyun Zhang GAN 17 7 0 11 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
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning Haofu Liao G. Funka-Lea Yefeng Zheng Jiebo Luo S. Kevin Zhou GAN CVBM 38 25 0 08 Dec 2018
Traversing Latent Space using Decision Ferns Yan Zuo Gil Avraham Tom Drummond 22 4 0 06 Dec 2018