PixelVAE: A Latent Variable Model for Natural Images

15 November 2016

David Vazquez

Aaron Courville

Papers citing "PixelVAE: A Latent Variable Model for Natural Images"

24 / 74 papers shown

Title
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke B. Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola J. Tenenbaum BDL DRL GAN 31 68 0 24 Jul 2018
Anomaly Detection for Skin Disease Images Using Variational Autoencoder Yuchen Lu Peng Xu DRL 19 73 0 03 Jul 2018
New Losses for Generative Adversarial Learning Victor Berger Michèle Sebag GAN 22 0 0 03 Jul 2018
The challenge of realistic music generation: modelling raw audio at scale Sander Dieleman Aaron van den Oord Karen Simonyan 21 184 0 26 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 29 256 0 05 Jun 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 33 165 0 06 Apr 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck BDL 41 474 0 13 Mar 2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data Amjad Almahairi Sai Rajeswar Alessandro Sordoni Philip Bachman Aaron Courville GAN 18 420 0 27 Feb 2018
Structured Uncertainty Prediction Networks Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson UQCV 49 62 0 20 Feb 2018
FlipDial: A Generative Model for Two-Way Visual Dialogue Daniela Massiceti N. Siddharth P. Dokania Philip Torr MLLM 32 41 0 11 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Hierarchical Adversarially Learned Inference Mohamed Ishmael Belghazi Sai Rajeswar Olivier Mastropietro Negar Rostamzadeh Jovana Mitrović Aaron Courville GAN BDL 40 29 0 04 Feb 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 58 4,840 0 02 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 39 80 0 01 Nov 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 32 100 0 02 Jun 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation Lei Cai Hongyang Gao Shuiwang Ji 28 68 0 19 May 2017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders Jesse Engel Cinjon Resnick Adam Roberts Sander Dieleman Douglas Eck Karen Simonyan Mohammad Norouzi 32 613 0 05 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 23 28 0 03 Apr 2017
Parallel Multiscale Autoregressive Density Estimation Scott E. Reed Aaron van den Oord Nal Kalchbrenner Sergio Gomez Colmenarejo Ziyun Wang Dan Belov Nando de Freitas BDL 36 204 0 10 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 33 155 0 28 Feb 2017
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016
Inverting Variational Autoencoders for Improved Generative Accuracy I. Gemp Ishan Durugkar M. Parente M. Dyar Sridhar Mahadevan DRL GAN 26 3 0 21 Aug 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016