PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
Likelihood and Other Modifications

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

19 January 2017

Diederik P. Kingma

ArXiv (abs)PDF HTML Github (1943★)

Papers citing "PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications"

16 / 366 papers shown

Title
Symmetric Variational Autoencoder and Connections to Adversarial Learning Liqun Chen Shuyang Dai Yunchen Pu Chunyuan Li Weiyao Wang Lawrence Carin DRL GAN 109 71 0 06 Sep 2017
A survey of exemplar-based texture synthesis Lara Raad Axel Davy A. Desolneux Jean-Michel Morel 3DV 140 35 0 22 Jul 2017
Dual Supervised Learning Yingce Xia Tao Qin Wei-neng Chen Jiang Bian Nenghai Yu Tie-Yan Liu SSL 142 143 0 03 Jul 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 107 447 0 07 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 77 100 0 02 Jun 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 113 554 0 31 May 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 105 485 0 27 May 2017
PixColor: Pixel Recursive Colorization S. Guadarrama Ryan Dahl David Bieber Mohammad Norouzi Jonathon Shlens Kevin Patrick Murphy 80 107 0 19 May 2017
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables L. Ambrogioni Umut Güçlü Marcel van Gerven E. Maris BDL 189 47 0 19 May 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 231 1,361 0 19 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 90 120 0 14 May 2017
A Neural Parametric Singing Synthesizer Merlijn Blaauw J. Bonada 69 98 0 12 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 106 207 0 10 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 88 158 0 28 Feb 2017
Bottleneck Conditional Density Estimation Rui Shu Hung Bui Mohammad Ghavamzadeh BDL 58 23 0 25 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 210 676 0 08 Nov 2016