Pixel Recurrent Neural Networks

25 January 2016

Aaron van den Oord

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,379 papers shown

Title
The Cramer Distance as a Solution to Biased Wasserstein Gradients Marc G. Bellemare Ivo Danihelka Will Dabney S. Mohamed Balaji Lakshminarayanan Stephan Hoyer Rémi Munos GAN 12 342 0 30 May 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 15 2,865 0 26 May 2017
Pose Guided Person Image Generation Liqian Ma Xu Jia Qianru Sun Bernt Schiele Tinne Tuytelaars Luc Van Gool GAN 22 815 0 25 May 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Neural Attribute Machines for Program Generation Matthew Amodio Swarat Chaudhuri Thomas W. Reps 11 35 0 25 May 2017
Unsupervised Learning Layers for Video Analysis Liang Zhao Yang Wang Yi Yang Wenyuan Xu SSL OffRL 17 0 0 24 May 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 30 137 0 22 May 2017
PixColor: Pixel Recursive Colorization S. Guadarrama Ryan Dahl David Bieber Mohammad Norouzi Jonathon Shlens Kevin Patrick Murphy 21 105 0 19 May 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation Lei Cai Hongyang Gao Shuiwang Ji 20 68 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 35 47 0 19 May 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 38 1,329 0 19 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 36 622 0 19 May 2017
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions Zhengyang Wang Hao Yuan Shuiwang Ji DRL 26 8 0 18 May 2017
Pixel Deconvolutional Networks Hongyang Gao Hao Yuan Zhengyang Wang Shuiwang Ji SSeg 19 46 0 18 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 28 117 0 14 May 2017
Probabilistic Image Colorization Amelie Royer Alexander Kolesnikov Christoph H. Lampert 19 44 0 11 May 2017
A Generative Model of People in Clothing Christoph Lassner Gerard Pons-Moll Peter V. Gehler 3DH 38 228 0 11 May 2017
Convolutional Sequence to Sequence Learning Jonas Gehring Michael Auli David Grangier Denis Yarats Yann N. Dauphin AIMat 22 3,263 0 08 May 2017
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video Yilin Song J. Viventi Yao Wang 15 1 0 08 May 2017
GRASS: Generative Recursive Autoencoders for Shape Structures Jun Li Kai Xu S. Chaudhuri Ersin Yumer Hao Zhang Leonidas J. Guibas 3DV 61 185 0 05 May 2017
The Pose Knows: Video Forecasting by Generating Pose Futures Jacob Walker Kenneth Marino Abhinav Gupta M. Hebert 35 348 0 28 Apr 2017
Fast Generation for Convolutional Autoregressive Models Prajit Ramachandran T. Paine Pooya Khorrami Mohammad Babaeizadeh Shiyu Chang Yang Zhang Mark Hasegawa-Johnson R. Campbell Thomas S. Huang BDL 21 66 0 20 Apr 2017
Generative Face Completion Yijun Li Sifei Liu Jimei Yang Ming-Hsuan Yang CVBM 3DH 17 599 0 19 Apr 2017
VAE Learning via Stein Variational Gradient Descent Yunchen Pu Zhe Gan Ricardo Henao Chunyuan Li Shaobo Han Lawrence Carin DRL 18 6 0 18 Apr 2017
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking Felix Juefei Xu Vishnu Naresh Boddeti Marios Savvides GAN 19 30 0 17 Apr 2017
MAGAN: Margin Adaptation for Generative Adversarial Networks Ruohan Wang Antoine Cully H. Chang Y. Demiris GAN 22 64 0 12 Apr 2017
A Neural Parametric Singing Synthesizer Merlijn Blaauw J. Bonada 19 98 0 12 Apr 2017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders Jesse Engel Cinjon Resnick Adam Roberts Sander Dieleman Douglas Eck Karen Simonyan Mohammad Norouzi 21 613 0 05 Apr 2017
Unsupervised Holistic Image Generation from Key Local Patches Donghoon Lee Sangdoo Yun Sungjoon Choi Hwiyeon Yoo Ming-Hsuan Yang Songhwai Oh GAN 32 11 0 31 Mar 2017
Learning Convolutional Networks for Content-weighted Image Compression Mu Li W. Zuo Shuhang Gu Debin Zhao David C. Zhang 33 399 0 30 Mar 2017
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training Jianmin Bao Dong Chen Fang Wen Houqiang Li Gang Hua GAN 27 210 0 29 Mar 2017
Learning to Generate Samples from Noise through Infusion Training Florian Bordes S. Honari Pascal Vincent GAN DiffM 11 44 0 20 Mar 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang Serge J. Belongie OOD 15 4,302 0 20 Mar 2017
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks Edward Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 156 569 0 19 Mar 2017
Conditional Time Series Forecasting with Convolutional Neural Networks Anastasia Borovykh S. Bohté C. Oosterlee AI4TS 13 468 0 14 Mar 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 25 204 0 10 Mar 2017
Interpretable Structure-Evolving LSTM Xiaodan Liang Liang Lin Xiaohui Shen Jiashi Feng Shuicheng Yan Eric P. Xing 33 96 0 08 Mar 2017
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis Eunbyung Park Jimei Yang Ersin Yumer Duygu Ceylan Alexander C. Berg 17 286 0 08 Mar 2017
Linguistic Knowledge as Memory for Recurrent Neural Networks Bhuwan Dhingra Zhilin Yang William W. Cohen Ruslan Salakhutdinov RALM 27 37 0 07 Mar 2017
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation Jianwei Yang A. Kannan Dhruv Batra Devi Parikh GAN 33 240 0 05 Mar 2017
Generative Compression Shibani Santurkar David Budden Nir Shavit VGen DiffM GAN 29 188 0 04 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 41 614 0 03 Mar 2017
Toward Controlled Generation of Text Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov Eric P. Xing 58 984 0 02 Mar 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 22 1,047 0 01 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 33 155 0 28 Feb 2017
Boosted Generative Models Aditya Grover Stefano Ermon 12 51 0 27 Feb 2017
Deep Voice: Real-time Neural Text-to-Speech Sercan Ö. Arik Mike Chrzanowski Adam Coates G. Diamos Andrew Gibiansky ... John Miller Andrew Ng Jonathan Raiman Shubho Sengupta M. Shoeybi 19 612 0 25 Feb 2017
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies R. DiPietro Christian Rupprecht Nassir Navab Gregory Hager 8 26 0 24 Feb 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 48 223 0 24 Feb 2017
Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning Wesley Tansey Karl Pichotta James G. Scott 14 0 0 23 Feb 2017