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Pixel Recurrent Neural Networks
v1v2v3 (latest)

Pixel Recurrent Neural Networks

25 January 2016
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
    SSegGAN
ArXiv (abs)PDFHTML

Papers citing "Pixel Recurrent Neural Networks"

38 / 1,388 papers shown
Title
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
173
1,007
0
07 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil
Pulkit Agrawal
Tejas D. Kulkarni
Tom Erez
Peter W. Battaglia
Nando de Freitas
AI4CE
113
333
0
06 Nov 2016
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
150
1,724
0
05 Nov 2016
Quasi-Recurrent Neural Networks
Quasi-Recurrent Neural Networks
James Bradbury
Stephen Merity
Caiming Xiong
R. Socher
223
445
0
05 Nov 2016
Flood-Filling Networks
Flood-Filling Networks
Michał Januszewski
Jeremy B. Maitin-Shepard
Peter H. Li
J. Kornfeld
W. Denk
Viren Jain
151
43
0
01 Nov 2016
Neural Machine Translation in Linear Time
Neural Machine Translation in Linear Time
Nal Kalchbrenner
L. Espeholt
Karen Simonyan
Aaron van den Oord
Alex Graves
Koray Kavukcuoglu
AIMat
124
553
0
31 Oct 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
503
3,227
0
30 Oct 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
143
598
0
27 Oct 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
103
149
0
18 Oct 2016
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolution
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
119
435
0
14 Oct 2016
Tensorial Mixture Models
Tensorial Mixture Models
Or Sharir
Ronen Tamari
Nadav Cohen
Amnon Shashua
TPM
90
25
0
13 Oct 2016
From phonemes to images: levels of representation in a recurrent neural
  model of visually-grounded language learning
From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
Lieke Gelderloos
Grzegorz Chrupała
78
31
0
11 Oct 2016
Learning What and Where to Draw
Learning What and Where to Draw
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRLGAN
89
620
0
08 Oct 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
113
426
0
03 Oct 2016
Cooperative Training of Descriptor and Generator Networks
Cooperative Training of Descriptor and Generator Networks
Jianwen Xie
Yang Lu
Ruiqi Gao
Song-Chun Zhu
Ying Nian Wu
GAN
87
143
0
29 Sep 2016
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT
  Imaging
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging
P. Ypsilantis
Giovanni Montana
MedIm
43
31
0
28 Sep 2016
Task Specific Adversarial Cost Function
Task Specific Adversarial Cost Function
Antonia Creswell
Anil A. Bharath
AAMLGAN
90
13
0
27 Sep 2016
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
59
9
0
23 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
82
459
0
22 Sep 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
419
7,430
0
12 Sep 2016
Deep Markov Random Field for Image Modeling
Deep Markov Random Field for Image Modeling
Zhirong Wu
Dahua Lin
Xiaoou Tang
BDL
65
29
0
07 Sep 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
81
829
0
18 Aug 2016
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Heng Fan
Xue Mei
Danil Prokhorov
Haibin Ling
94
49
0
08 Jul 2016
Alternating Back-Propagation for Generator Network
Alternating Back-Propagation for Generator Network
Tian Han
Yang Lu
Song-Chun Zhu
Ying Nian Wu
90
4
0
28 Jun 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
284
2,521
0
16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDLDRL
162
1,828
0
15 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
195
1,487
0
06 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
105
1,316
0
02 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
279
3,730
0
26 May 2016
Neural Autoregressive Distribution Estimation
Neural Autoregressive Distribution Estimation
Benigno Uria
Marc-Alexandre Côté
Karol Gregor
Iain Murray
Hugo Larochelle
96
314
0
07 May 2016
Towards Conceptual Compression
Towards Conceptual Compression
Karol Gregor
F. Besse
Danilo Jimenez Rezende
Ivo Danihelka
Daan Wierstra
DRLOCLSSLBDL
98
248
0
29 Apr 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
87
1,435
0
15 Apr 2016
Learning Local Descriptors by Optimizing the Keypoint-Correspondence
  Criterion: Applications to Face Matching, Learning from Unlabeled Videos and
  3D-Shape Retrieval
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape Retrieval
Nenad Markuš
Igor S. Pandzic
Jörgen Ahlberg
3DV
49
4
0
30 Mar 2016
Semantic Object Parsing with Graph LSTM
Semantic Object Parsing with Graph LSTM
Xiaodan Liang
Xiaohui Shen
Jiashi Feng
Liang Lin
Shuicheng Yan
204
356
0
23 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
132
620
0
17 Mar 2016
Auxiliary Deep Generative Models
Auxiliary Deep Generative Models
Lars Maaløe
C. Sønderby
Søren Kaae Sønderby
Ole Winther
DRLGAN
119
451
0
17 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
110
916
0
06 Feb 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
278
5,266
0
22 Dec 2015
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